Instructions to use Miniruwan/distelebert_mlm_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Miniruwan/distelebert_mlm_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Miniruwan/distelebert_mlm_model")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("Miniruwan/distelebert_mlm_model") model = AutoModelForMaskedLM.from_pretrained("Miniruwan/distelebert_mlm_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Miniruwan/distelebert_mlm_model: direct link, hf CLI and curl.
- Browser
- Download file 4.92 kB
-
https://huggingface.co/Miniruwan/distelebert_mlm_model/resolve/main/training_args.bin
- Command line
-
hf download hf://Miniruwan/distelebert_mlm_model/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Miniruwan/distelebert_mlm_model/resolve/main/training_args.bin
4.92 kB
- Xet hash:
- 920ae2e7f9f9f37a7821bf7f8e077fc9104826067d53e978a9b07e0eb7cab555
- Size of remote file:
- 4.92 kB
- SHA256:
- 6a8b9a7bd2ad0a4976dd527b22a0116e70dd4c1bced4bcbe0d8d014ad3ec2553
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