Text Classification
Transformers
Safetensors
English
bert
Generated from Trainer
text-embeddings-inference
Instructions to use pszemraj/xtremedistil-l6-h256-OCR-quality with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pszemraj/xtremedistil-l6-h256-OCR-quality with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="pszemraj/xtremedistil-l6-h256-OCR-quality")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("pszemraj/xtremedistil-l6-h256-OCR-quality") model = AutoModelForSequenceClassification.from_pretrained("pszemraj/xtremedistil-l6-h256-OCR-quality", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c8329765ee802a1595bdee3268c88a89ed3d64baf3978bfb50c54dd526246976
- Size of remote file:
- 5.24 kB
- SHA256:
- 2777bbb4abf0b02219c0ae9f205f941eb31d41f843eafc2e55baf08e4f5d71fe
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