Instructions to use allenai/longformer-large-4096-finetuned-triviaqa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use allenai/longformer-large-4096-finetuned-triviaqa with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "question-answering" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # pip install "transformers<5.0.0" from transformers import pipeline pipe = pipeline("question-answering", model="allenai/longformer-large-4096-finetuned-triviaqa")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("allenai/longformer-large-4096-finetuned-triviaqa") model = AutoModelForQuestionAnswering.from_pretrained("allenai/longformer-large-4096-finetuned-triviaqa", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from allenai/longformer-large-4096-finetuned-triviaqa: direct link, hf CLI and curl.
- Browser
- Download file 1.74 GB
-
https://huggingface.co/allenai/longformer-large-4096-finetuned-triviaqa/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://allenai/longformer-large-4096-finetuned-triviaqa/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/allenai/longformer-large-4096-finetuned-triviaqa/resolve/main/pytorch_model.bin
1.74 GB
- Xet hash:
- 59c4cf15c8b53db098b7c1d92270ad915925de88c41fccd8c807ebf35c981179
- Size of remote file:
- 1.74 GB
- SHA256:
- 0a20c73d06d32a321d8c1d546c62c0ef3ff52055d565ba1a2ef6fc0cae984933
路
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