Instructions to use Langboat/mengzi-bert-base-fin with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Langboat/mengzi-bert-base-fin with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Langboat/mengzi-bert-base-fin")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("Langboat/mengzi-bert-base-fin") model = AutoModelForMaskedLM.from_pretrained("Langboat/mengzi-bert-base-fin", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
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Parent(s): 8429dcf
Update config.json
Browse files- config.json +1 -1
config.json
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"pooler_size_per_head": 128,
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"pooler_type": "first_token_transform",
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"position_embedding_type": "absolute",
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"torch_dtype": "
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"transformers_version": "4.9.2",
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"type_vocab_size": 2,
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"use_cache": true,
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"pooler_size_per_head": 128,
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"pooler_type": "first_token_transform",
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"position_embedding_type": "absolute",
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"torch_dtype": "float32",
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"transformers_version": "4.9.2",
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"type_vocab_size": 2,
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"use_cache": true,
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