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")# 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") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:fbf5409601286f1a1e57e982d9715c04ab43c6dbf6cb531cf8e3363a94f6c9ce
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size 496263676
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