Text Classification
Transformers
PyTorch
TensorBoard
Safetensors
distilbert
text-embeddings-inference
Instructions to use cruiser/distillbert_tweet_eval_sentiment with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cruiser/distillbert_tweet_eval_sentiment with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="cruiser/distillbert_tweet_eval_sentiment")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("cruiser/distillbert_tweet_eval_sentiment") model = AutoModelForSequenceClassification.from_pretrained("cruiser/distillbert_tweet_eval_sentiment", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Adding `safetensors` variant of this model (#1)
- Adding `safetensors` variant of this model (23a7872d7adf54d3e30eb5c1e3ecd20d58cbe9a4) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>86ecdd6
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