Transformers
PyTorch
Safetensors
English
t5
text2text-generation
finance
ContextNER
language models
text-generation-inference
Instructions to use him1411/EDGAR-T5-Large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use him1411/EDGAR-T5-Large with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("him1411/EDGAR-T5-Large") model = AutoModelForSeq2SeqLM.from_pretrained("him1411/EDGAR-T5-Large", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 88fd6b248d3ae890494cf74239b26d1e6ae50b8d0c48b86bda272ccb08000d9d
- Size of remote file:
- 2.95 GB
- SHA256:
- ec1257637ab96e948157f889c4721c3fb2bc652d61d861e159b24067d1c836a5
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