Instructions to use vasudevgupta/bigbird-base-trivia-itc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vasudevgupta/bigbird-base-trivia-itc 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="vasudevgupta/bigbird-base-trivia-itc")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("vasudevgupta/bigbird-base-trivia-itc") model = AutoModelForQuestionAnswering.from_pretrained("vasudevgupta/bigbird-base-trivia-itc", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from vasudevgupta/bigbird-base-trivia-itc: direct link, hf CLI and curl.
- Browser
- Download file 527 MB
-
https://huggingface.co/vasudevgupta/bigbird-base-trivia-itc/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://vasudevgupta/bigbird-base-trivia-itc/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/vasudevgupta/bigbird-base-trivia-itc/resolve/main/pytorch_model.bin
527 MB
- Xet hash:
- 3db4181dae5c84944bbd23e751b20fac5bab67b6aac8d4a297812f52a83f859a
- Size of remote file:
- 527 MB
- SHA256:
- 59a0cc3603cf40f6d8601ecab26e966bc9e6a4e48924271de3359974e261fe45
路
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.