Instructions to use DimasikKurd/MedRuRobertaLarge_neg with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DimasikKurd/MedRuRobertaLarge_neg with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="DimasikKurd/MedRuRobertaLarge_neg")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("DimasikKurd/MedRuRobertaLarge_neg") model = AutoModelForTokenClassification.from_pretrained("DimasikKurd/MedRuRobertaLarge_neg", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bd4a05e34d4d4408e9bed94c9400736f7da8543b3707d7aab15a2f084564a2e8
- Size of remote file:
- 4.98 kB
- SHA256:
- 2233076939c2ade1cecfe17625289d46f2320b2beb984c2aa8457f0e0286cae3
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