Instructions to use mamiksik/Testing with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mamiksik/Testing with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="mamiksik/Testing")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("mamiksik/Testing") model = AutoModelForMaskedLM.from_pretrained("mamiksik/Testing", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from mamiksik/Testing: direct link, hf CLI and curl.
- Browser
- Download file 499 MB
-
https://huggingface.co/mamiksik/Testing/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://mamiksik/Testing/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/mamiksik/Testing/resolve/main/pytorch_model.bin
499 MB
- Xet hash:
- 610599410a8c45c52be826d2fd09228bd8a549fe1dd26f43d30d591e3fab56e6
- Size of remote file:
- 499 MB
- SHA256:
- 12589f1f4c657289939684869434c286b3e7f278bb562320e5c7cb444a1d367f
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