Instructions to use MightyShashankVac/adv-nlp-bert-classifier-model-for-response-selection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MightyShashankVac/adv-nlp-bert-classifier-model-for-response-selection with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="MightyShashankVac/adv-nlp-bert-classifier-model-for-response-selection")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MightyShashankVac/adv-nlp-bert-classifier-model-for-response-selection") model = AutoModelForSequenceClassification.from_pretrained("MightyShashankVac/adv-nlp-bert-classifier-model-for-response-selection", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Welcome to the community
The community tab is the place to discuss and collaborate with the HF community!