Instructions to use roscazo/CTEBMSP_ner_test2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use roscazo/CTEBMSP_ner_test2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="roscazo/CTEBMSP_ner_test2")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("roscazo/CTEBMSP_ner_test2") model = AutoModelForTokenClassification.from_pretrained("roscazo/CTEBMSP_ner_test2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6aedfcb0b42b1d9f3afab7f5719730ff89297d547941d0131623ce4c17e4af2c
- Size of remote file:
- 496 MB
- SHA256:
- 3648b11b4b29a4f264c25b8ee6bf9bcff82712931fff21cf0d96f43ff4e3baca
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