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