Instructions to use iarfmoose/roberta-small-bulgarian-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use iarfmoose/roberta-small-bulgarian-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="iarfmoose/roberta-small-bulgarian-ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("iarfmoose/roberta-small-bulgarian-ner") model = AutoModelForTokenClassification.from_pretrained("iarfmoose/roberta-small-bulgarian-ner") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3813d6189af5b220d6322edacafa7cba0f4c69b97f68a8aa327195bfae9c75a5
- Size of remote file:
- 331 MB
- SHA256:
- 7172201c281daf7f1348ff546ef48233b687a42e0452a8bd25346e4276f37df7
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