Text Classification
Transformers
Safetensors
distilbert
sentiment-analysis
bert
goemotions
nlp
text-embeddings-inference
Instructions to use Krish623/sentiment-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Krish623/sentiment-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Krish623/sentiment-model")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Krish623/sentiment-model") model = AutoModelForSequenceClassification.from_pretrained("Krish623/sentiment-model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Update README.md
Verified signature236205b
-
Update README.md
Verified signature93a83e1 -
Update README.md
Verified signaturecaecf37
-
Upload tokenizer
Verified signaturec21145e -
Upload DistilBertForSequenceClassification
Verified signature437c6f8 -
initial commit
Verified signature204a91a