Instructions to use aXhyra/sentiment_temp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aXhyra/sentiment_temp with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="aXhyra/sentiment_temp")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("aXhyra/sentiment_temp") model = AutoModelForSequenceClassification.from_pretrained("aXhyra/sentiment_temp", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from aXhyra/sentiment_temp: direct link, hf CLI and curl.
- Browser
- Download file 268 MB
-
https://huggingface.co/aXhyra/sentiment_temp/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://aXhyra/sentiment_temp/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/aXhyra/sentiment_temp/resolve/main/pytorch_model.bin
268 MB
- Xet hash:
- f816adc9eb5e11204e93200aed329a5e92a06901f5c8a6a296da196c79ec2879
- Size of remote file:
- 268 MB
- SHA256:
- d77037ef8d8ea8ff97e370a9f7720f9fef97357ad9e28e98fac7d9dcc107cea0
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