Instructions to use almanach/camembertv2-base-ftb-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use almanach/camembertv2-base-ftb-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="almanach/camembertv2-base-ftb-ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("almanach/camembertv2-base-ftb-ner") model = AutoModelForTokenClassification.from_pretrained("almanach/camembertv2-base-ftb-ner", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 686256015ab19a56d7caf21dafbb804357e91b5ebf27347218393d3a32a2eddb
- Size of remote file:
- 5.62 kB
- SHA256:
- 5a7a9b89b841739a3021e1e3a1adf2c68602fa7afc6688bbb60862c85d3c4c5e
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