Instructions to use Kushrjain/custom_with_100_dim_embedding with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Kushrjain/custom_with_100_dim_embedding with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Kushrjain/custom_with_100_dim_embedding")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Kushrjain/custom_with_100_dim_embedding") model = AutoModelForSequenceClassification.from_pretrained("Kushrjain/custom_with_100_dim_embedding") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1 opened over 1 year ago
by
SFconvertbot