Instructions to use Ameer05/test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Ameer05/test with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "summarization" 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("summarization", model="Ameer05/test")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Ameer05/test") model = AutoModelForSeq2SeqLM.from_pretrained("Ameer05/test", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 270a727dc7f86e1771d410f43621d93cd5739cc3ed26f460438d9f76b932a607
- Size of remote file:
- 1.63 GB
- SHA256:
- b313162a589711769c9e5b766cf0223844051891e8dcebd9f11fe8405a6d108e
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.