Instructions to use proxectonos/mdeberta-gl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use proxectonos/mdeberta-gl with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="proxectonos/mdeberta-gl")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("proxectonos/mdeberta-gl") model = AutoModelForMaskedLM.from_pretrained("proxectonos/mdeberta-gl", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download added_tokens.json from proxectonos/mdeberta-gl: direct link, hf CLI and curl.
- Browser
- Download file 23 Bytes
-
https://huggingface.co/proxectonos/mdeberta-gl/resolve/main/added_tokens.json
- Command line
-
hf download hf://proxectonos/mdeberta-gl/added_tokens.json
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curl -L -o added_tokens.json https://huggingface.co/proxectonos/mdeberta-gl/resolve/main/added_tokens.json
23 Bytes
| { | |
| "[MASK]": 250101 | |
| } | |