Instructions to use manucos/final-ft__roberta-base-biomedical-clinical-es__70k-ultrasounds with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use manucos/final-ft__roberta-base-biomedical-clinical-es__70k-ultrasounds with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="manucos/final-ft__roberta-base-biomedical-clinical-es__70k-ultrasounds")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("manucos/final-ft__roberta-base-biomedical-clinical-es__70k-ultrasounds") model = AutoModelForMaskedLM.from_pretrained("manucos/final-ft__roberta-base-biomedical-clinical-es__70k-ultrasounds") - Notebooks
- Google Colab
- Kaggle