Instructions to use luffycodes/roberta-large-md-conllpp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use luffycodes/roberta-large-md-conllpp with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="luffycodes/roberta-large-md-conllpp")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("luffycodes/roberta-large-md-conllpp") model = AutoModelForTokenClassification.from_pretrained("luffycodes/roberta-large-md-conllpp") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b312cebfd6467381331f0ea01a2417766175a736249761dd8f4111a8a4b272c7
- Size of remote file:
- 1.42 GB
- SHA256:
- aa08f476c8e687d44de1daada1c049769b58d7e868ba25ef4a121b416bab6af4
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