Instructions to use mathugo/crypto_news_bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mathugo/crypto_news_bert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="mathugo/crypto_news_bert")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("mathugo/crypto_news_bert") model = AutoModelForMaskedLM.from_pretrained("mathugo/crypto_news_bert") - Notebooks
- Google Colab
- Kaggle
Upload tokenizer
Browse files- merges.txt +0 -0
- tokenizer.json +0 -0
- tokenizer_config.json +1 -2
- vocab.json +0 -0
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tokenizer.json
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tokenizer_config.json
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"tokenizer_class": "RobertaTokenizer",
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"pad_token": "<pad>",
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"tokenizer_class": "RobertaTokenizer",
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vocab.json
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