
# CryptoTokenBERT
Machine Learning model for news to token classification (supported tokens: bitcoin, ethereum, altcoin).
This model is based on `bert-base-uncased' and it's main task is to tell about which token the news is.
Dataset used to fine-tune this model is not big (about 10k rows) so don't expect it to be perfect, but it's close enough for many applications.

Have fun playing around with It :D
{"language": ["en"], "license": "mit", "pipeline_tag": "text-classification"}
transformers safetensors bert text-classification en license:mit autotrain_compatible endpoints_compatible region:us