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
Commit 路
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Parent(s): 43b6b98
flax version add
Browse files- config.json +1 -1
- flax_model.msgpack +3 -0
config.json
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"bos_token_id": 1,
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"eos_token_id": 2,
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"gradient_checkpointing": false,
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"hidden_act": "
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"hidden_dropout_prob": 0.1,
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"hidden_size": 768,
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"initializer_range": 0.02,
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"bos_token_id": 1,
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"eos_token_id": 2,
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"gradient_checkpointing": false,
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"hidden_act": "gelu_new",
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"hidden_dropout_prob": 0.1,
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"hidden_size": 768,
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"initializer_range": 0.02,
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flax_model.msgpack
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version https://git-lfs.github.com/spec/v1
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oid sha256:c4884e977468831a82b82cdf92df2e3079704a396d77c1e7bae3cd7ad9763e0e
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size 526465237
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