Text Classification
Transformers
Safetensors
deberta-v2
Generated from Trainer
text-embeddings-inference
Instructions to use pedro1kroll/deberta-SQuAD_tax0.35 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pedro1kroll/deberta-SQuAD_tax0.35 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="pedro1kroll/deberta-SQuAD_tax0.35")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("pedro1kroll/deberta-SQuAD_tax0.35") model = AutoModelForSequenceClassification.from_pretrained("pedro1kroll/deberta-SQuAD_tax0.35", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from pedro1kroll/deberta-SQuAD_tax0.35: direct link, hf CLI and curl.
- Browser
- Download file 5.37 kB
-
https://huggingface.co/pedro1kroll/deberta-SQuAD_tax0.35/resolve/main/training_args.bin
- Command line
-
hf download hf://pedro1kroll/deberta-SQuAD_tax0.35/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/pedro1kroll/deberta-SQuAD_tax0.35/resolve/main/training_args.bin
5.37 kB
- Xet hash:
- 59b969c18c10fb08d7b20281ec50eedc20032e3ed0db041a0d94963ec035fe28
- Size of remote file:
- 5.37 kB
- SHA256:
- 036df46842b2d3bfa85de13c8ec3bb20f0a3d481066547a4cab3da53af6bffc2
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