Instructions to use google/bigbird-base-trivia-itc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/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="google/bigbird-base-trivia-itc")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("google/bigbird-base-trivia-itc") model = AutoModelForQuestionAnswering.from_pretrained("google/bigbird-base-trivia-itc", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download flax_model.msgpack from google/bigbird-base-trivia-itc: direct link, hf CLI and curl.
- Browser
- Download file 526 MB
-
https://huggingface.co/google/bigbird-base-trivia-itc/resolve/main/flax_model.msgpack
- Command line
-
hf download hf://google/bigbird-base-trivia-itc/flax_model.msgpack
-
curl -L -o flax_model.msgpack https://huggingface.co/google/bigbird-base-trivia-itc/resolve/main/flax_model.msgpack
526 MB
- Xet hash:
- 9490b3d5ce8b9bc397c4f11cc0b31cc26067598b557fb0e7a419375e96ea219c
- Size of remote file:
- 526 MB
- SHA256:
- c4884e977468831a82b82cdf92df2e3079704a396d77c1e7bae3cd7ad9763e0e
路
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