Text Classification
Transformers
Safetensors
distilbert
sentiment-analysis
text-embeddings-inference
Instructions to use sofiane-isi/distilbert-sentiment with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sofiane-isi/distilbert-sentiment with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="sofiane-isi/distilbert-sentiment")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("sofiane-isi/distilbert-sentiment") model = AutoModelForSequenceClassification.from_pretrained("sofiane-isi/distilbert-sentiment", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from sofiane-isi/distilbert-sentiment: direct link, hf CLI and curl.
- Browser
- Download file 5.27 kB
-
https://huggingface.co/sofiane-isi/distilbert-sentiment/resolve/main/training_args.bin
- Command line
-
hf download hf://sofiane-isi/distilbert-sentiment/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/sofiane-isi/distilbert-sentiment/resolve/main/training_args.bin
5.27 kB
- Xet hash:
- 59aa5bb307433b3f9d393a2b6d176f786118c7ad65d184619f6678b58c3ffedc
- Size of remote file:
- 5.27 kB
- SHA256:
- ca5f1debceb1bea4638b7256d601165048a6a2201170b055b562abe407dceefc
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