Text Classification
Transformers
Safetensors
deberta-v2
Generated from Trainer
text-embeddings-inference
Instructions to use absonS/finetuning_test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use absonS/finetuning_test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="absonS/finetuning_test")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("absonS/finetuning_test") model = AutoModelForSequenceClassification.from_pretrained("absonS/finetuning_test", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 012203ed1c549a6a892d2039a266d8ab0ec9c25c4c41e524a637a17433fc9b8b
- Size of remote file:
- 5.24 kB
- SHA256:
- cbc5f5296f0ac5d881260e738fb906423c9b7155e83db6b5aebaa13bd65371c0
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