Instructions to use kazars24/rubert-tiny2-ner-drugname with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kazars24/rubert-tiny2-ner-drugname with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="kazars24/rubert-tiny2-ner-drugname")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("kazars24/rubert-tiny2-ner-drugname") model = AutoModelForTokenClassification.from_pretrained("kazars24/rubert-tiny2-ner-drugname", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3751f87331be27bbb1b1b4aa7769914b14f028910f283dcb11874ed2bc48ec2b
- Size of remote file:
- 5.11 kB
- SHA256:
- 8fbfadbee4e3da3ab6ac987779019491fd52630dfec89fdb8d34d11e63674a3e
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