Instructions to use yanekyuk/convberturk-keyword-extractor with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use yanekyuk/convberturk-keyword-extractor with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="yanekyuk/convberturk-keyword-extractor")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("yanekyuk/convberturk-keyword-extractor") model = AutoModelForTokenClassification.from_pretrained("yanekyuk/convberturk-keyword-extractor", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3dd4f28c58899295f2e1a124fc4f0a666bd4383512d9f0d854e1194185fdceca
- Size of remote file:
- 427 MB
- SHA256:
- 4726af65851df159b539d8d8c5bc63de2cadada4c4242023e456b938b2680779
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