Instructions to use JuanC513/beto-ner-prostata-bs32 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JuanC513/beto-ner-prostata-bs32 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="JuanC513/beto-ner-prostata-bs32")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("JuanC513/beto-ner-prostata-bs32") model = AutoModelForTokenClassification.from_pretrained("JuanC513/beto-ner-prostata-bs32", device_map="auto") - Notebooks
- Google Colab
- Kaggle
BETO NER próstata bs=32
Browse files- model.safetensors +1 -1
model.safetensors
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