Instructions to use CesarLeblanc/geoplantbert_text_classification_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CesarLeblanc/geoplantbert_text_classification_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="CesarLeblanc/geoplantbert_text_classification_model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("CesarLeblanc/geoplantbert_text_classification_model") model = AutoModelForSequenceClassification.from_pretrained("CesarLeblanc/geoplantbert_text_classification_model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 84536f7825b69f1d5eb2bd1957a15c5dbaba7c598621a1f77cecdb7f740a9d6d
- Size of remote file:
- 4.66 kB
- SHA256:
- ff969b22afc614190dcd997763177301c318983cdf05a6b76ec7eb80c411883e
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