Instructions to use iarfmoose/roberta-base-bulgarian-pos with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use iarfmoose/roberta-base-bulgarian-pos with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="iarfmoose/roberta-base-bulgarian-pos")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("iarfmoose/roberta-base-bulgarian-pos") model = AutoModelForTokenClassification.from_pretrained("iarfmoose/roberta-base-bulgarian-pos", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9b83a76b3a7105ee430fe73bc59391c9af0d95b78ab81c108eede2c5b6a03a6c
- Size of remote file:
- 502 MB
- SHA256:
- c7ca57f548dd7115a5e6f9b4b5492325b2953679ab9784561a50e2bb816b80ac
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