Instructions to use Elif-Rana/BioBERTurk_Custom_Classification_and_NER with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Elif-Rana/BioBERTurk_Custom_Classification_and_NER with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Elif-Rana/BioBERTurk_Custom_Classification_and_NER")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Elif-Rana/BioBERTurk_Custom_Classification_and_NER") model = AutoModelForSequenceClassification.from_pretrained("Elif-Rana/BioBERTurk_Custom_Classification_and_NER", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from Elif-Rana/BioBERTurk_Custom_Classification_and_NER: direct link, hf CLI and curl.
- Browser
- Download file 443 MB
-
https://huggingface.co/Elif-Rana/BioBERTurk_Custom_Classification_and_NER/resolve/main/model.safetensors
- Command line
-
hf download hf://Elif-Rana/BioBERTurk_Custom_Classification_and_NER/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/Elif-Rana/BioBERTurk_Custom_Classification_and_NER/resolve/main/model.safetensors
443 MB
- Xet hash:
- 0265eeaa8b8dd99953b377d805bf520345ba00d8be9e58fdf20ebd9c34e6df1d
- Size of remote file:
- 443 MB
- SHA256:
- 62177e59725b98dfbd14fc88b3532ec1ec8dbb644927660de6fe0003ccb578e5
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