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Update app.py
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app.py
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import
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import torch
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import os
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os.environ["HUGGINGFACEHUB_API_TOKEN"] = st.secrets["HF_TOKEN"]
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# os.environ["USE_FLASH_ATTENTION"] = "1"
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#
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# pipeline = transformers.pipeline(
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# "text-generation",
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# )
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]
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prompt = pipeline.tokenizer.apply_chat_template(
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messages, tokenize=False, add_generation_prompt=True
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)
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terminators = [
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pipeline.tokenizer.eos_token_id,
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pipeline.tokenizer.convert_tokens_to_ids("<|eot_id|>"),
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]
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outputs = pipeline(
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prompt,
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max_new_tokens=256,
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eos_token_id=terminators,
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do_sample=True,
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temperature=0.6,
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top_p=0.9,
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)
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print(outputs[0]["generated_text"][len(prompt) :])
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print("hello")
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import gradio as gr
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gr.load("models/davidkim205/Rhea-72b-v0.5").launch()
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# import transformers
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# import torch
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# import os
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# os.environ["HF_TOKEN"] = st.secrets["HF_TOKEN"]
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# os.environ["HUGGINGFACEHUB_API_TOKEN"] = st.secrets["HF_TOKEN"]
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# # os.environ["USE_FLASH_ATTENTION"] = "1"
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# print(f"Device name: {torch.cuda.get_device_properties('cuda').name}")
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# print(f"FlashAttention available: {torch.backends.cuda.flash_sdp_enabled()}")
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# print(f"torch version: {torch.version}")
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# # model_id = "meta-llama/Meta-Llama-3-8B"
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# # pipeline = transformers.pipeline(
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# # "text-generation", model=model_id, model_kwargs={"torch_dtype": torch.bfloat16}, device_map="auto"
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# # )
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# # pipeline("Hey how are you doing today?")
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# model_id = "meta-llama/Meta-Llama-3-8B-Instruct"
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# pipeline = transformers.pipeline(
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# "text-generation",
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# model=model_id,
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# model_kwargs={"torch_dtype": torch.bfloat16},
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# device_map="auto",
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# )
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# messages = [
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# {
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# "role": "system",
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# "content": "You are a pirate chatbot who always responds in pirate speak!",
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# },
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# {"role": "user", "content": "Who are you?"},
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# ]
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# prompt = pipeline.tokenizer.apply_chat_template(
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# messages, tokenize=False, add_generation_prompt=True
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# )
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# terminators = [
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# pipeline.tokenizer.eos_token_id,
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# pipeline.tokenizer.convert_tokens_to_ids("<|eot_id|>"),
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# ]
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# outputs = pipeline(
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# prompt,
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# max_new_tokens=256,
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# eos_token_id=terminators,
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# do_sample=True,
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# temperature=0.6,
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# top_p=0.9,
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# )
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# print(outputs[0]["generated_text"][len(prompt) :])
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# print("hello")
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