Instructions to use ashdev01/my_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ashdev01/my_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="ashdev01/my_model")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("ashdev01/my_model") model = AutoModelForMaskedLM.from_pretrained("ashdev01/my_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from ashdev01/my_model: direct link, hf CLI and curl.
- Browser
- Download file 329 MB
-
https://huggingface.co/ashdev01/my_model/resolve/main/model.safetensors
- Command line
-
hf download hf://ashdev01/my_model/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/ashdev01/my_model/resolve/main/model.safetensors
329 MB
- Xet hash:
- 45cf14b1d8cfd55191a9db3d067f8914974368babc267a28d608ed601907b763
- Size of remote file:
- 329 MB
- SHA256:
- 779bfa6d6ffb19e11fa3a21272642a7142aac444c77473e4338360251ac7ca0c
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