Instructions to use sven-nm/roberta_classics_ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sven-nm/roberta_classics_ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="sven-nm/roberta_classics_ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("sven-nm/roberta_classics_ner") model = AutoModelForTokenClassification.from_pretrained("sven-nm/roberta_classics_ner", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Sven Najem-Meyer
Updates model to fix issue https://github.com/AjaxMultiCommentary/ner_for_classics/issues/2
5ad6c90 - Xet hash:
- fd0fe2720d4c258bb9d7cf57741654ecb695e32dd760d6418f49d5e58bef12b6
- Size of remote file:
- 496 MB
- SHA256:
- a5e68757ceaa5a157d400d05ea3d0fbcca047e1b315592a10e7e91a91fcc6d15
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