Text Classification
Transformers
Safetensors
English
deberta-v2
Generated from Trainer
text-embeddings-inference
Instructions to use absonS/twitter_sentiment_small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use absonS/twitter_sentiment_small with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="absonS/twitter_sentiment_small")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("absonS/twitter_sentiment_small") model = AutoModelForSequenceClassification.from_pretrained("absonS/twitter_sentiment_small", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Update model information
Verified signatured45842f -
End of training
Verified signature6eda6ea
-
Set model_max_length in tokenizer config
Verified signatureb4b3044 -
Update README.md with library_name
Verified signaturefe42256 -
Create README.md
Verified signaturef9e6bac -
Training in progress, step 1500
Verified signature7066b24 -
Training in progress, step 1000
Verified signature37f912f -
Training in progress, step 500
Verified signature1bc01bc -
initial commit
Verified signaturef68f35e