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 pytorch_model.bin from divers/e2e-flan-large-noscore: direct link, hf CLI and curl.
- Browser
- Download file 3.13 GB
-
https://huggingface.co/divers/e2e-flan-large-noscore/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://divers/e2e-flan-large-noscore/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/divers/e2e-flan-large-noscore/resolve/main/pytorch_model.bin
3.13 GB
- Xet hash:
- a81a5bebff2d7f5684771dfe5ca0d8b6bda3ac3a0e468d3c9c204ca765da775d
- Size of remote file:
- 3.13 GB
- SHA256:
- f8820a6be074768efdd2325fd708137f9ee9da0f84cd334293093fe1b88b3f2e
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