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")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("kk08/CryptoBERT") model = AutoModelForSequenceClassification.from_pretrained("kk08/CryptoBERT", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Upload tokenizer.json
Verified signatured04528f
-
Librarian Bot: Add base_model information to model (#2)
- Librarian Bot: Add base_model information to model (b378f2fa6304dd8286eb3c332740479d4150cff4) Co-authored-by: Librarian Bot (Bot) <librarian-bot@users.noreply.huggingface.co>827ba9b
-
Update README.md
aecde2e -
Adding `safetensors` variant of this model (#1)
- Adding `safetensors` variant of this model (51cd8b3437c72ff0fb40a934dfbfd91b3c217f93) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>c6cde63
-
Update README.md
8c52870 -
Update README.md
f87bb19 -
Update README.md
bf0c373 -
Upload 3 files
51bcd9e -
Update README.md
8c0272a -
update model card README.md
3be9690 -
CryptoBERT
77af10d -
initial commit
43e05d2