Instructions to use ndrushchak/custom_classifier_hire_decision_v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ndrushchak/custom_classifier_hire_decision_v3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ndrushchak/custom_classifier_hire_decision_v3")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ndrushchak/custom_classifier_hire_decision_v3") model = AutoModelForSequenceClassification.from_pretrained("ndrushchak/custom_classifier_hire_decision_v3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from ndrushchak/custom_classifier_hire_decision_v3: direct link, hf CLI and curl.
- Browser
- Download file 17.1 MB
-
https://huggingface.co/ndrushchak/custom_classifier_hire_decision_v3/resolve/main/tokenizer.json
- Command line
-
hf download hf://ndrushchak/custom_classifier_hire_decision_v3/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/ndrushchak/custom_classifier_hire_decision_v3/resolve/main/tokenizer.json
17.1 MB
- Xet hash:
- e97e22ce09f70026280b7b4dd2e87e72f39d17b377be0d1959dade243f3fe8fa
- Size of remote file:
- 17.1 MB
- SHA256:
- cd98e5698b201ba914efb8c18b6709fa8735ab71dcad8d2b431e52e8bf68d932
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