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:
- 390e5d7166633ae40f5f14faf76c657c7a137ccf1927fcd3f04b5171937a7223
- Size of remote file:
- 5.18 kB
- SHA256:
- 53fae9d2706ef0285d31158344cc3bade9fcbbcbbc368ab0cec3b98d7d43f9ff
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