Instructions to use Sybghat/Testing with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Sybghat/Testing 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="Sybghat/Testing")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("Sybghat/Testing") model = AutoModelForQuestionAnswering.from_pretrained("Sybghat/Testing", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Training in progress, step 500
Verified signature3420fc8 -
Model save
Verified signature660b80b -
Model save
Verified signature2831ff6 -
Training in progress, step 500
Verified signature58e8019 -
Training in progress, step 500
Verified signature18c8454 -
Model save
Verified signature41106b2 -
initial commit
Verified signaturef725b72