Text Classification
Transformers
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use thanhcong2001/Sentiment with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use thanhcong2001/Sentiment with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="thanhcong2001/Sentiment")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("thanhcong2001/Sentiment") model = AutoModelForSequenceClassification.from_pretrained("thanhcong2001/Sentiment", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from thanhcong2001/Sentiment: direct link, hf CLI and curl.
- Browser
- Download file 5.78 kB
-
https://huggingface.co/thanhcong2001/Sentiment/resolve/main/training_args.bin
- Command line
-
hf download hf://thanhcong2001/Sentiment/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/thanhcong2001/Sentiment/resolve/main/training_args.bin
5.78 kB
- Xet hash:
- d985ffa1ca850f77ca1ea030898640c62a6fe0eb6f5b1afb6abc8ab25d55971e
- Size of remote file:
- 5.78 kB
- SHA256:
- 02a4a675db51b7868a34288e70a399eb2ee0f44297ad07e90fefd11e7307f89a
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