Instructions to use kemalcankara/anlp2023_fall_nerModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kemalcankara/anlp2023_fall_nerModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="kemalcankara/anlp2023_fall_nerModel")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("kemalcankara/anlp2023_fall_nerModel") model = AutoModelForTokenClassification.from_pretrained("kemalcankara/anlp2023_fall_nerModel", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from kemalcankara/anlp2023_fall_nerModel: direct link, hf CLI and curl.
- Browser
- Download file 261 MB
-
https://huggingface.co/kemalcankara/anlp2023_fall_nerModel/resolve/main/model.safetensors
- Command line
-
hf download hf://kemalcankara/anlp2023_fall_nerModel/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/kemalcankara/anlp2023_fall_nerModel/resolve/main/model.safetensors
261 MB
- Xet hash:
- 1871c3c1d467b3a27662b05b043fc70447b552a17119d3df4edfce91c3796028
- Size of remote file:
- 261 MB
- SHA256:
- f5dfff5338a49c393ad5e68fc9bbe04f977c9322c6d2e4104af5673082a498af
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