Text Classification
Transformers
PyTorch
Safetensors
English
bert
Generated from Trainer
crypto
sentiment
analysis
text-embeddings-inference
Instructions to use kk08/CryptoBERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kk08/CryptoBERT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="kk08/CryptoBERT")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("kk08/CryptoBERT") model = AutoModelForSequenceClassification.from_pretrained("kk08/CryptoBERT") - Inference
- Notebooks
- Google Colab
- Kaggle
Upload tokenizer.json (#4)
Browse files- Upload tokenizer.json (d04528f21e95b6d0f89ab4b1e7e4d61b328d6fa6)
Co-authored-by: Asael Garcia Islas <AsaelGI1@users.noreply.huggingface.co>
- tokenizer.json +0 -0
tokenizer.json
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