Instructions to use midas/roberta-large-inspec-finetuned-crf with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use midas/roberta-large-inspec-finetuned-crf with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="midas/roberta-large-inspec-finetuned-crf")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("midas/roberta-large-inspec-finetuned-crf") model = AutoModelForTokenClassification.from_pretrained("midas/roberta-large-inspec-finetuned-crf", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 96fb1d243ab4de8aeb9b85553abc6fc2f92234300ac3ba73cf41b0841814485c
- Size of remote file:
- 1.42 GB
- SHA256:
- b0eccaa486b5e4aacd6547fe632f1babf200617af366759059cfffc8ece59008
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