Instructions to use bbaaaa/myfork2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bbaaaa/myfork2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="bbaaaa/myfork2")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("bbaaaa/myfork2") model = AutoModel.from_pretrained("bbaaaa/myfork2") - Notebooks
- Google Colab
- Kaggle
- config.json +1 -1
- merges.txt +0 -0
- tokenizer.json +0 -0
- vocab.json +0 -0
config.json
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"torch_dtype": "float32",
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"transformers_version": "4.12.0.dev0",
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"use_cache": true,
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-
"vocab_size":
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}
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"torch_dtype": "float32",
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"transformers_version": "4.12.0.dev0",
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"use_cache": true,
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"vocab_size": 8000
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}
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merges.txt
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tokenizer.json
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vocab.json
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