Instructions to use horsbug98/Part_1_mBERT_Model_E1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use horsbug98/Part_1_mBERT_Model_E1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="horsbug98/Part_1_mBERT_Model_E1")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("horsbug98/Part_1_mBERT_Model_E1") model = AutoModelForQuestionAnswering.from_pretrained("horsbug98/Part_1_mBERT_Model_E1") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#2 opened about 1 year ago
by
SFconvertbot
Librarian Bot: Add base_model information to model
#1 opened over 2 years ago
by
librarian-bot