Instructions to use darshan7/Final_QA_ON_TOTTO with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use darshan7/Final_QA_ON_TOTTO with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "question-answering" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # pip install "transformers<5.0.0" from transformers import pipeline pipe = pipeline("question-answering", model="darshan7/Final_QA_ON_TOTTO")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("darshan7/Final_QA_ON_TOTTO") model = AutoModelForQuestionAnswering.from_pretrained("darshan7/Final_QA_ON_TOTTO", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Training in progress epoch 9
f396e8d -
Training in progress epoch 8
6f8aca2 -
Training in progress epoch 7
766b439 -
Training in progress epoch 6
bd5611f -
Training in progress epoch 5
114f87b -
Training in progress epoch 4
8882167 -
Training in progress epoch 3
7cef557 -
Training in progress epoch 2
a2cbdc6 -
Training in progress epoch 1
2ce22fe -
Training in progress epoch 0
0f844e2 -
initial commit
67af30c