Instructions to use thak123/Cro-Frida with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use thak123/Cro-Frida with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="thak123/Cro-Frida")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("thak123/Cro-Frida") model = AutoModelForSequenceClassification.from_pretrained("thak123/Cro-Frida") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0876ffcd575d9c9069a101c7f59b1dec45d49f13ff69abce3ee5215a6526f41f
- Size of remote file:
- 3.06 kB
- SHA256:
- f11dd3cf5a6f9eca4c70b7ab022d4e56774ad981b55e6dfcd6cfd333eb80436d
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