Instructions to use Cheykong/HRVibeCheck with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Cheykong/HRVibeCheck with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Cheykong/HRVibeCheck")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Cheykong/HRVibeCheck") model = AutoModelForSequenceClassification.from_pretrained("Cheykong/HRVibeCheck") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fae21d58ed876db7b2bb62785d56ea818fec18068ae405c218de0329005813f8
- Size of remote file:
- 5.78 kB
- SHA256:
- 654d97f1a01bcda25d8240c1d2a737f552353d65842bc87586e933ccc0583f3a
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