Instructions to use skillzzzzzy/telberto with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use skillzzzzzy/telberto with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="skillzzzzzy/telberto")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("skillzzzzzy/telberto") model = AutoModelForMaskedLM.from_pretrained("skillzzzzzy/telberto", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from skillzzzzzy/telberto: direct link, hf CLI and curl.
- Browser
- Download file 268 MB
-
https://huggingface.co/skillzzzzzy/telberto/resolve/refs%2Fpr%2F1/pytorch_model.bin
- Command line
-
hf download hf://skillzzzzzy/telberto@refs/pr/1/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/skillzzzzzy/telberto/resolve/refs%2Fpr%2F1/pytorch_model.bin
268 MB
- Xet hash:
- 4eb52c7219f54ea8543f8f8e973e9928ac8dda0a99fa7d1db30a01e5e03f83af
- Size of remote file:
- 268 MB
- SHA256:
- 49ec83355a8da8e762c737042ddbe693049d756bd4c12506fd213597d787138e
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