Instructions to use Jarnails1559/sentiment-analyzer-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jarnails1559/sentiment-analyzer-model with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Jarnails1559/sentiment-analyzer-model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download checkpoint from Jarnails1559/sentiment-analyzer-model: direct link, hf CLI and curl.
- Browser
- Download file 75 Bytes
-
https://huggingface.co/Jarnails1559/sentiment-analyzer-model/resolve/main/checkpoint
- Command line
-
hf download hf://Jarnails1559/sentiment-analyzer-model/checkpoint
-
curl -L -o checkpoint https://huggingface.co/Jarnails1559/sentiment-analyzer-model/resolve/main/checkpoint
75 Bytes
| model_checkpoint_path: "model-100" | |
| all_model_checkpoint_paths: "model-100" | |