Text Classification
Transformers
Safetensors
deberta-v2
Generated from Trainer
text-embeddings-inference
Instructions to use VietTung04/results with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use VietTung04/results with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="VietTung04/results")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("VietTung04/results") model = AutoModelForSequenceClassification.from_pretrained("VietTung04/results", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from VietTung04/results: direct link, hf CLI and curl.
- Browser
- Download file 4.86 kB
-
https://huggingface.co/VietTung04/results/resolve/main/training_args.bin
- Command line
-
hf download hf://VietTung04/results/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/VietTung04/results/resolve/main/training_args.bin
4.86 kB
- Xet hash:
- 04fb7a1340fcee503a12b60012bf667db238187f86b4823d295058ccfdb155c2
- Size of remote file:
- 4.86 kB
- SHA256:
- 5bbe477271f9215d221b5b59a99e4b4ade62a2240142b753366740ab60b5d884
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