Instructions to use csatapathy/interview-ratings-bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use csatapathy/interview-ratings-bert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="csatapathy/interview-ratings-bert")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("csatapathy/interview-ratings-bert") model = AutoModelForSequenceClassification.from_pretrained("csatapathy/interview-ratings-bert") - Notebooks
- Google Colab
- Kaggle
# Load model directly
from transformers import AutoTokenizer, AutoModelForSequenceClassification
tokenizer = AutoTokenizer.from_pretrained("csatapathy/interview-ratings-bert")
model = AutoModelForSequenceClassification.from_pretrained("csatapathy/interview-ratings-bert")Quick Links
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="csatapathy/interview-ratings-bert")