Instructions to use aimarsg/testlink with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aimarsg/testlink with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="aimarsg/testlink")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("aimarsg/testlink") model = AutoModelForTokenClassification.from_pretrained("aimarsg/testlink", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e529c1c3321dd44a3c4dd7e73021c529a43733488eaff0679b7802c36c779934
- Size of remote file:
- 496 MB
- SHA256:
- 3fcca78eb6de1bfd1e645ee40845b0e4a04b5d58d058ea2361bf2b43b6bef4ed
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.