Text Classification
Transformers
Safetensors
Turkish
bert
finance
crypto
turkish
BTC
ETH
XRP
text-embeddings-inference
Instructions to use FurkanFatihCiftci/crypto_bert_sentiment with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FurkanFatihCiftci/crypto_bert_sentiment with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="FurkanFatihCiftci/crypto_bert_sentiment")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("FurkanFatihCiftci/crypto_bert_sentiment") model = AutoModelForSequenceClassification.from_pretrained("FurkanFatihCiftci/crypto_bert_sentiment", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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README.md
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README.md
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README.md
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Upload tokenizer
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Upload BertForSequenceClassification
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initial commit
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