Instructions to use pouyamohseni/mert-inst-2ep with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pouyamohseni/mert-inst-2ep with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="pouyamohseni/mert-inst-2ep", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("pouyamohseni/mert-inst-2ep", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0b6d8662a962fcd51f70747d2787d5068bc13f038de39ab35343317f1a0a3306
- Size of remote file:
- 207 MB
- SHA256:
- 91390b894d9191f325fbc127af988ccb616b6a6c8fb304cdab147df22a92958b
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