Text Classification
Transformers
TensorBoard
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use Sharpaxis/Sentiment_tweets_distilbert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Sharpaxis/Sentiment_tweets_distilbert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Sharpaxis/Sentiment_tweets_distilbert")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Sharpaxis/Sentiment_tweets_distilbert") model = AutoModelForSequenceClassification.from_pretrained("Sharpaxis/Sentiment_tweets_distilbert", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from Sharpaxis/Sentiment_tweets_distilbert: direct link, hf CLI and curl.
- Browser
- Download file 268 MB
-
https://huggingface.co/Sharpaxis/Sentiment_tweets_distilbert/resolve/main/model.safetensors
- Command line
-
hf download hf://Sharpaxis/Sentiment_tweets_distilbert/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/Sharpaxis/Sentiment_tweets_distilbert/resolve/main/model.safetensors
268 MB
- Xet hash:
- 0421c558ebb3b75c29674b64638767a31493297b9562f0776bf71b89a4d22a8e
- Size of remote file:
- 268 MB
- SHA256:
- feb662252fb9e2ae73b05b91e82f74c06c24c44698446aea4317af721feace57
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