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:
- f8a8e7005d5e98a4c0cea98d4f68cfc7ac544d66954badd5d2fb2a6c85a8a8b6
- Size of remote file:
- 497 MB
- SHA256:
- d221638c757a3c907ff2ad8ab1bc32d8c8fbd32dd957daa6a6befa0945e2f1fe
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