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 hparams.json from Jarnails1559/sentiment-analyzer-model: direct link, hf CLI and curl.
- Browser
- Download file 90 Bytes
-
https://huggingface.co/Jarnails1559/sentiment-analyzer-model/resolve/main/hparams.json
- Command line
-
hf download hf://Jarnails1559/sentiment-analyzer-model/hparams.json
-
curl -L -o hparams.json https://huggingface.co/Jarnails1559/sentiment-analyzer-model/resolve/main/hparams.json
90 Bytes
| { | |
| "n_vocab": 50257, | |
| "n_ctx": 1024, | |
| "n_embd": 768, | |
| "n_head": 12, | |
| "n_layer": 12 | |
| } | |