Instructions to use BAAI/bge-large-zh with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BAAI/bge-large-zh with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="BAAI/bge-large-zh")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("BAAI/bge-large-zh") model = AutoModel.from_pretrained("BAAI/bge-large-zh", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
Commit ·
1b543b3
1
Parent(s): 4619734
Fix `model_max_length` in `tokenizer_config.json` (#4)
Browse files- Fix `model_max_length` in `tokenizer_config.json` (a88ba5ecdddf355a06e1944ee1dbbac9a16f31f0)
Co-authored-by: Santiago Castro <bryant1410@users.noreply.huggingface.co>
- tokenizer_config.json +1 -1
tokenizer_config.json
CHANGED
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@@ -4,7 +4,7 @@
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"do_basic_tokenize": true,
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"do_lower_case": true,
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"mask_token": "[MASK]",
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-
"model_max_length":
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| 8 |
"never_split": null,
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| 9 |
"pad_token": "[PAD]",
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"sep_token": "[SEP]",
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"do_basic_tokenize": true,
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"do_lower_case": true,
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"mask_token": "[MASK]",
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+
"model_max_length": 512,
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"never_split": null,
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| 9 |
"pad_token": "[PAD]",
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| 10 |
"sep_token": "[SEP]",
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