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:
- 35d11c89b2dcaac90914ce806dc4bdcee42c4de0c461778a5828b2ff7d75eb24
- Size of remote file:
- 3.25 kB
- SHA256:
- f84734a5e869f6b3ae4fc184ad4cda7e1db188ee74d716a67da10450012da650
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