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 training_args.bin from RLau33/yelpreviewproject: direct link, hf CLI and curl.
- Browser
- Download file 5.91 kB
-
https://huggingface.co/RLau33/yelpreviewproject/resolve/main/training_args.bin
- Command line
-
hf download hf://RLau33/yelpreviewproject/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/RLau33/yelpreviewproject/resolve/main/training_args.bin
5.91 kB
- Xet hash:
- 28ee812198c2ace16465fea95b015532f875f0547f6dfdfbe142da94aa9dd25a
- Size of remote file:
- 5.91 kB
- SHA256:
- 3342e767af86d6c7083470e3225e91b8fa90a9ee63018426d33197c0c808eff6
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