Instructions to use sramasamy8/testModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sramasamy8/testModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="sramasamy8/testModel")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("sramasamy8/testModel") model = AutoModelForMaskedLM.from_pretrained("sramasamy8/testModel", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download RandomFile from sramasamy8/testModel: direct link, hf CLI and curl.
- Browser
- Download file 19 Bytes
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https://huggingface.co/sramasamy8/testModel/resolve/main/RandomFile
- Command line
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hf download hf://sramasamy8/testModel/RandomFile
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curl -L -o RandomFile https://huggingface.co/sramasamy8/testModel/resolve/main/RandomFile
19 Bytes
| This is a good file |