Text Classification
Transformers
PyTorch
TensorBoard
bert
Generated from Trainer
text-embeddings-inference
Instructions to use thaidv96/lead-reliability-scoring with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use thaidv96/lead-reliability-scoring with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="thaidv96/lead-reliability-scoring")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("thaidv96/lead-reliability-scoring") model = AutoModelForSequenceClassification.from_pretrained("thaidv96/lead-reliability-scoring") - Notebooks
- Google Colab
- Kaggle
More information about the dataset and what kind of data it has?
#3 opened about 1 year ago
by
A-m-a-n
Librarian Bot: Add base_model information to model
#2 opened over 2 years ago
by
librarian-bot
Adding `safetensors` variant of this model
#1 opened almost 3 years ago
by
SFconvertbot