Instructions to use wiorz/bert_sm_cv_summarized_4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use wiorz/bert_sm_cv_summarized_4 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="wiorz/bert_sm_cv_summarized_4")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("wiorz/bert_sm_cv_summarized_4") model = AutoModelForSequenceClassification.from_pretrained("wiorz/bert_sm_cv_summarized_4", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#2 opened almost 2 years ago
by
SFconvertbot
Librarian Bot: Add base_model information to model
#1 opened almost 3 years ago
by
librarian-bot