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")# 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
- Xet hash:
- 355eaf6ed4944203db3c2a54b2a14e5da4d7429e1f1a0edd18f28af8ba1415b6
- Size of remote file:
- 5.24 kB
- SHA256:
- 8478c910b2499ddc12a02a1af8f591b8a6ba1f161f5f1a64d6d8f9df154564c0
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