Text Classification
Transformers
TensorBoard
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use dafqi/DistilBERT-Rating-Prediction with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dafqi/DistilBERT-Rating-Prediction with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="dafqi/DistilBERT-Rating-Prediction")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("dafqi/DistilBERT-Rating-Prediction") model = AutoModelForSequenceClassification.from_pretrained("dafqi/DistilBERT-Rating-Prediction", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from dafqi/DistilBERT-Rating-Prediction: direct link, hf CLI and curl.
- Browser
- Download file 4.92 kB
-
https://huggingface.co/dafqi/DistilBERT-Rating-Prediction/resolve/main/training_args.bin
- Command line
-
hf download hf://dafqi/DistilBERT-Rating-Prediction/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/dafqi/DistilBERT-Rating-Prediction/resolve/main/training_args.bin
4.92 kB
- Xet hash:
- 9adc0cdcec3a64efc53a439a1749c0f554cb8fe25aec012757ff7ad3cfb15de9
- Size of remote file:
- 4.92 kB
- SHA256:
- 2b3695fe59a5376ad3de7fc83c12d604df09701e4ebcbc2527595fb1ef31d585
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