Instructions to use TheJournal/higher_accuracy_Bert_Model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TheJournal/higher_accuracy_Bert_Model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="TheJournal/higher_accuracy_Bert_Model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("TheJournal/higher_accuracy_Bert_Model") model = AutoModelForSequenceClassification.from_pretrained("TheJournal/higher_accuracy_Bert_Model") - Notebooks
- Google Colab
- Kaggle
# Use a pipeline as a high-level helper
from transformers import pipeline
pipe = pipeline("text-classification", model="TheJournal/higher_accuracy_Bert_Model")# Load model directly
from transformers import AutoTokenizer, AutoModelForSequenceClassification
tokenizer = AutoTokenizer.from_pretrained("TheJournal/higher_accuracy_Bert_Model")
model = AutoModelForSequenceClassification.from_pretrained("TheJournal/higher_accuracy_Bert_Model")Quick Links
# Gated model: Login with a HF token with gated access permission hf auth login