Text Classification
Transformers
TensorBoard
Safetensors
distilbert
yelp
review-quality
Generated from Trainer
text-embeddings-inference
Instructions to use RLau33/yelpreviewproject with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use RLau33/yelpreviewproject with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="RLau33/yelpreviewproject")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("RLau33/yelpreviewproject") model = AutoModelForSequenceClassification.from_pretrained("RLau33/yelpreviewproject", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from RLau33/yelpreviewproject: direct link, hf CLI and curl.
- Browser
- Download file 268 MB
-
https://huggingface.co/RLau33/yelpreviewproject/resolve/main/model.safetensors
- Command line
-
hf download hf://RLau33/yelpreviewproject/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/RLau33/yelpreviewproject/resolve/main/model.safetensors
268 MB
- Xet hash:
- e7345b3cd437c34302333b0941b473bc00fe586cc8284724b4a912779dbd69d2
- Size of remote file:
- 268 MB
- SHA256:
- fa77a23a3e13990bfe4e59f4a9c32318ee0d5c8c2ca7d926fff3fa45295dc960
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