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 spm.model from pedro1kroll/deberta-SQuAD_tax0.35: direct link, hf CLI and curl.
- Browser
- Download file 2.46 MB
-
https://huggingface.co/pedro1kroll/deberta-SQuAD_tax0.35/resolve/main/spm.model
- Command line
-
hf download hf://pedro1kroll/deberta-SQuAD_tax0.35/spm.model
-
curl -L -o spm.model https://huggingface.co/pedro1kroll/deberta-SQuAD_tax0.35/resolve/main/spm.model
2.46 MB
- Xet hash:
- ceef70ee5c068f2e8ec2ea787d1566d2f5846b612f0e0a3879edffa246dc91cf
- Size of remote file:
- 2.46 MB
- SHA256:
- c679fbf93643d19aab7ee10c0b99e460bdbc02fedf34b92b05af343b4af586fd
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