Instructions to use covalenthq/cryptoNER with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use covalenthq/cryptoNER with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="covalenthq/cryptoNER")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("covalenthq/cryptoNER") model = AutoModelForTokenClassification.from_pretrained("covalenthq/cryptoNER") - Notebooks
- Google Colab
- Kaggle
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- name: xlm-roberta-base-finetuned-ner-crypto
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Didn't I tell you that that was a decent entry point on $PROPHET? If you are
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in - congrats, Prophet is up 90% in the last 2 weeks and 50% up in the last
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week alone
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- name: xlm-roberta-base-finetuned-ner-crypto
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results: []
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widget:
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- text:
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Didn't I tell you that that was a decent entry point on $PROPHET? If you are
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in - congrats, Prophet is up 90% in the last 2 weeks and 50% up in the last
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week alone
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