Instructions to use Erdenebold/testing_mongolian-roberta_base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Erdenebold/testing_mongolian-roberta_base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Erdenebold/testing_mongolian-roberta_base")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Erdenebold/testing_mongolian-roberta_base") model = AutoModelForTokenClassification.from_pretrained("Erdenebold/testing_mongolian-roberta_base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Erdenebold/testing_mongolian-roberta_base: direct link, hf CLI and curl.
- Browser
- Download file 3.58 kB
-
https://huggingface.co/Erdenebold/testing_mongolian-roberta_base/resolve/main/training_args.bin
- Command line
-
hf download hf://Erdenebold/testing_mongolian-roberta_base/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Erdenebold/testing_mongolian-roberta_base/resolve/main/training_args.bin
3.58 kB
- Xet hash:
- 39a016fd8588e019be95afef52330022fd123412e76e3c8eceba15ffc36e2b8b
- Size of remote file:
- 3.58 kB
- SHA256:
- f7bb1fbbd2e626cc555b5c24134fa33521cb25cf02f7df643eb943857be8107a
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