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:
- 9cc161cf6d1d5b78559f89874f22d888ab24cc1df82d8be8cadf59f997af7ec1
- Size of remote file:
- 4.66 kB
- SHA256:
- 51e423a43e2c343212f9e7679f0b3d1aff9fe7a7b292399f81c25b5157e5e97d
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