Instructions to use divers/e2e-flan-large-noscore with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use divers/e2e-flan-large-noscore with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("divers/e2e-flan-large-noscore") model = AutoModelForSeq2SeqLM.from_pretrained("divers/e2e-flan-large-noscore", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from divers/e2e-flan-large-noscore: direct link, hf CLI and curl.
- Browser
- Download file 5.12 kB
-
https://huggingface.co/divers/e2e-flan-large-noscore/resolve/main/training_args.bin
- Command line
-
hf download hf://divers/e2e-flan-large-noscore/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/divers/e2e-flan-large-noscore/resolve/main/training_args.bin
5.12 kB
- Xet hash:
- d78bce124217a9549f7e5cf677b2c44fed70477eaba9571a6f68a5d9ee2a029d
- Size of remote file:
- 5.12 kB
- SHA256:
- 3ad89bf7840de5297dfcf4d71af77601a27f0ca321291cb9e2a7eaf6ce5bf5bf
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