Text Classification
Transformers
TensorBoard
Safetensors
t5
Generated from Trainer
Eval Results (legacy)
Instructions to use yigagilbert/salt_language_Classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use yigagilbert/salt_language_Classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="yigagilbert/salt_language_Classification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("yigagilbert/salt_language_Classification") model = AutoModelForSequenceClassification.from_pretrained("yigagilbert/salt_language_Classification") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0e0c5da688c085aa20c88866738345e4f7e1193a636dafc036c4219fe40a6fad
- Size of remote file:
- 62.6 MB
- SHA256:
- de644ecbb753ee5c02fb073e5af63e60364f6e087adc53de7f3bab59627a3216
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