Instructions to use helenpy/Modelos with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use helenpy/Modelos with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="helenpy/Modelos")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("helenpy/Modelos") model = AutoModelForSequenceClassification.from_pretrained("helenpy/Modelos", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from helenpy/Modelos: direct link, hf CLI and curl.
- Browser
- Download file 439 MB
-
https://huggingface.co/helenpy/Modelos/resolve/main/model.safetensors
- Command line
-
hf download hf://helenpy/Modelos/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/helenpy/Modelos/resolve/main/model.safetensors
439 MB
- Xet hash:
- 873e285b603a68b781c1c46cf895622c8eed44ae696bcf9fa80bd20cfc1a036c
- Size of remote file:
- 439 MB
- SHA256:
- 4583f790862f5ee7f1f4cd57f48212bf1df1db805e79c6eb632b6c51f03a45b9
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