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 tf_model.h5 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/tf_model.h5
- Command line
-
hf download hf://allenai/longformer-large-4096-finetuned-triviaqa/tf_model.h5
-
curl -L -o tf_model.h5 https://huggingface.co/allenai/longformer-large-4096-finetuned-triviaqa/resolve/main/tf_model.h5
1.74 GB
- Xet hash:
- 54733f61f50db8cea074261d808aaf6fa4bf98793bcaa36f2a97d2000b9ebc55
- Size of remote file:
- 1.74 GB
- SHA256:
- 5f3438f93b96a4f7cd93a7e3d2d13e42118e0f506fa61b0b01939e449beb2ddf
路
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