Instructions to use Imran1/sentimen_analysis_yelp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Imran1/sentimen_analysis_yelp with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Imran1/sentimen_analysis_yelp")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Imran1/sentimen_analysis_yelp") model = AutoModelForSequenceClassification.from_pretrained("Imran1/sentimen_analysis_yelp", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from Imran1/sentimen_analysis_yelp: direct link, hf CLI and curl.
- Browser
- Download file 433 MB
-
https://huggingface.co/Imran1/sentimen_analysis_yelp/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Imran1/sentimen_analysis_yelp/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Imran1/sentimen_analysis_yelp/resolve/main/pytorch_model.bin
433 MB
- Xet hash:
- 42e573249bb34bcf10f8357897656cc82ce64d0758ead4a0d4d3f151484b3030
- Size of remote file:
- 433 MB
- SHA256:
- 3afc68ab1e8ea94affdfb2b98a066befc827f3d2cf4334f64be053263bc85852
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