Instructions to use vppvgit/BiblItBERT-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vppvgit/BiblItBERT-1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="vppvgit/BiblItBERT-1")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("vppvgit/BiblItBERT-1") model = AutoModelForMaskedLM.from_pretrained("vppvgit/BiblItBERT-1") - Notebooks
- Google Colab
- Kaggle
add model
Browse files- config.json +2 -2
- pytorch_model.bin +1 -1
config.json
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{
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"_name_or_path": "
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"architectures": [
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"BertForMaskedLM"
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],
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"pad_token_id": 0,
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"position_embedding_type": "absolute",
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"torch_dtype": "float32",
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"transformers_version": "4.10.
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"type_vocab_size": 2,
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"use_cache": true,
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"vocab_size": 32102
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{
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+
"_name_or_path": "vppvgit/BiblItBERT",
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"architectures": [
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"BertForMaskedLM"
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],
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"pad_token_id": 0,
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"position_embedding_type": "absolute",
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"torch_dtype": "float32",
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+
"transformers_version": "4.10.3",
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"type_vocab_size": 2,
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"use_cache": true,
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"vocab_size": 32102
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size 442999211
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version https://git-lfs.github.com/spec/v1
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+
oid sha256:e387dbd0fb353318045097f6432450fed1fd2c7b4f0733bac82fdda89157e249
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size 442999211
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