Instructions to use horsbug98/Part_1_mBERT_Model_E2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use horsbug98/Part_1_mBERT_Model_E2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="horsbug98/Part_1_mBERT_Model_E2")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("horsbug98/Part_1_mBERT_Model_E2") model = AutoModelForQuestionAnswering.from_pretrained("horsbug98/Part_1_mBERT_Model_E2") - Notebooks
- Google Colab
- Kaggle
# Load model directly
from transformers import AutoTokenizer, AutoModelForQuestionAnswering
tokenizer = AutoTokenizer.from_pretrained("horsbug98/Part_1_mBERT_Model_E2")
model = AutoModelForQuestionAnswering.from_pretrained("horsbug98/Part_1_mBERT_Model_E2")Quick Links
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="horsbug98/Part_1_mBERT_Model_E2")