Instructions to use cuadron11/modelBsc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cuadron11/modelBsc with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="cuadron11/modelBsc")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("cuadron11/modelBsc") model = AutoModelForTokenClassification.from_pretrained("cuadron11/modelBsc", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6db6f18cf7e30753a7f92c2956adb299989625c027dd20b76210014757be5cdf
- Size of remote file:
- 3.58 kB
- SHA256:
- fa3f07d088a07c4a86824438a589c2fd3e9775036b3bacaf339a743fc48d230c
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