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SkyWalkertT1
/
crypto_bert_sentiment

Text Classification
Transformers
Safetensors
Turkish
bert
finance
crypto
turkish
BTC
ETH
XRP
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use SkyWalkertT1/crypto_bert_sentiment with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use SkyWalkertT1/crypto_bert_sentiment with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="SkyWalkertT1/crypto_bert_sentiment")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("SkyWalkertT1/crypto_bert_sentiment")
    model = AutoModelForSequenceClassification.from_pretrained("SkyWalkertT1/crypto_bert_sentiment")
  • Notebooks
  • Google Colab
  • Kaggle
crypto_bert_sentiment
444 MB
Ctrl+K
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  • 1 contributor
History: 6 commits
SkyWalkertT1's picture
SkyWalkertT1
README.md
7f8afa9 verified 9 months ago
  • .gitattributes
    1.52 kB
    initial commit 9 months ago
  • README.md
    4.54 kB
    README.md 9 months ago
  • config.json
    806 Bytes
    Upload BertForSequenceClassification 9 months ago
  • model.safetensors
    443 MB
    xet
    Upload BertForSequenceClassification 9 months ago
  • special_tokens_map.json
    125 Bytes
    Upload tokenizer 9 months ago
  • tokenizer.json
    755 kB
    Upload tokenizer 9 months ago
  • tokenizer_config.json
    1.28 kB
    Upload tokenizer 9 months ago
  • vocab.txt
    251 kB
    Upload tokenizer 9 months ago