Instructions to use ericRosello/trial with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ericRosello/trial with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="ericRosello/trial")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("ericRosello/trial") model = AutoModel.from_pretrained("ericRosello/trial", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from ericRosello/trial: direct link, hf CLI and curl.
- Browser
- Download file 265 MB
-
https://huggingface.co/ericRosello/trial/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://ericRosello/trial/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/ericRosello/trial/resolve/main/pytorch_model.bin
265 MB
- Xet hash:
- 1c8e2d26d8aa0184461afc5578848fedf0e676dafe9d1fc08e3fba8b54a12322
- Size of remote file:
- 265 MB
- SHA256:
- a901a9912311ec53ade9a7e90d0abd43a29d698128c86e7e38fc632a903ecb61
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