Instructions to use YituTech/conv-bert-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use YituTech/conv-bert-small with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="YituTech/conv-bert-small")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("YituTech/conv-bert-small") model = AutoModel.from_pretrained("YituTech/conv-bert-small") - Inference
- Notebooks
- Google Colab
- Kaggle
Abhishek Thakur commited on
Commit ·
9a11330
1
Parent(s): 6325582
update weights
Browse files- config.json +1 -1
- pytorch_model.bin +1 -1
- tf_model.h5 +1 -1
config.json
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"num_groups": 1,
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"num_hidden_layers": 12,
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"pad_token_id": 0,
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"transformers_version": "4.
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"type_vocab_size": 2,
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"vocab_size": 30522
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}
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"num_groups": 1,
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"num_hidden_layers": 12,
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"pad_token_id": 0,
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"transformers_version": "4.4.0.dev0",
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"type_vocab_size": 2,
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"vocab_size": 30522
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}
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pytorch_model.bin
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tf_model.h5
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version https://git-lfs.github.com/spec/v1
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oid sha256:dc9b661e77632a35a42726f1e91ebf0c453156d709bc2e02b87578c229d3984f
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size 52911488
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