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")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("yigagilbert/salt_language_Classification") model = AutoModelForSequenceClassification.from_pretrained("yigagilbert/salt_language_Classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from yigagilbert/salt_language_Classification: direct link, hf CLI and curl.
- Browser
- Download file 62.6 MB
-
https://huggingface.co/yigagilbert/salt_language_Classification/resolve/main/model.safetensors
- Command line
-
hf download hf://yigagilbert/salt_language_Classification/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/yigagilbert/salt_language_Classification/resolve/main/model.safetensors
62.6 MB
- Xet hash:
- 0e0c5da688c085aa20c88866738345e4f7e1193a636dafc036c4219fe40a6fad
- Size of remote file:
- 62.6 MB
- SHA256:
- de644ecbb753ee5c02fb073e5af63e60364f6e087adc53de7f3bab59627a3216
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