Instructions to use TextToKids/CamemBERT-base-EmoTextToKids with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TextToKids/CamemBERT-base-EmoTextToKids with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="TextToKids/CamemBERT-base-EmoTextToKids")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("TextToKids/CamemBERT-base-EmoTextToKids") model = AutoModelForSequenceClassification.from_pretrained("TextToKids/CamemBERT-base-EmoTextToKids") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- da7add2df2ceab0b667d0bc223629a29f56089464015da5689492a366e97c6e7
- Size of remote file:
- 443 MB
- SHA256:
- fe2ac9296eee7395fbb38a0fa046c91b480a85f14f96a095f7ba91a5de543a5d
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