Instructions to use emi08/maske with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use emi08/maske with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="emi08/maske")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("emi08/maske") model = AutoModelForTokenClassification.from_pretrained("emi08/maske", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from emi08/maske: direct link, hf CLI and curl.
- Browser
- Download file 5.2 kB
-
https://huggingface.co/emi08/maske/resolve/main/training_args.bin
- Command line
-
hf download hf://emi08/maske/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/emi08/maske/resolve/main/training_args.bin
5.2 kB
- Xet hash:
- c2974011c942c8e8fa34b89cacd52c10d5ee09058a106cb14519782ed334db08
- Size of remote file:
- 5.2 kB
- SHA256:
- 840bf5aeca26ca62a053b3e03bc9e22d0947c8e3e175a6c2c768465ffb47c59b
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