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ElKulako
/
cryptobert

Text Classification
Transformers
PyTorch
Safetensors
English
roberta
cryptocurrency
crypto
BERT
sentiment classification
NLP
bitcoin
ethereum
shib
social media
sentiment analysis
cryptocurrency sentiment analysis
text-embeddings-inference
Model card Files Files and versions
xet
Community
11

Instructions to use ElKulako/cryptobert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use ElKulako/cryptobert with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="ElKulako/cryptobert")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("ElKulako/cryptobert")
    model = AutoModelForSequenceClassification.from_pretrained("ElKulako/cryptobert")
  • Inference
  • Notebooks
  • Google Colab
  • Kaggle
New discussion
Resources
  • PR & discussions documentation
  • Code of Conduct
  • Hub documentation

add AIBOM

#11 opened 11 months ago by
RiccardoDav

Adding `safetensors` variant of this model

#9 opened about 1 year ago by
SFconvertbot

Adding `safetensors` variant of this model

#8 opened over 1 year ago by
SFconvertbot

Adding `safetensors` variant of this model

#7 opened over 1 year ago by
SFconvertbot

Extracting all three probabilities (neutral, bearish, bullish) rather than just the one with the highest probability

1
#6 opened over 2 years ago by
Honza70

Inquiry Regarding cryptobert Model and Related Research

2
#5 opened almost 3 years ago by
cryptron

Adding `safetensors` variant of this model

#4 opened about 3 years ago by
SFconvertbot

Question about accuracy

3
#3 opened over 3 years ago by
shubham12et1062

Improving the model predictions

1
#2 opened over 3 years ago by
petarulev

How can we extend this model to a binary classification ie Crypto related or not?

1
#1 opened over 3 years ago by
Hardik1347
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