Instructions to use budecosystem/Maxwell-TCS-v0.2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use budecosystem/Maxwell-TCS-v0.2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="budecosystem/Maxwell-TCS-v0.2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("budecosystem/Maxwell-TCS-v0.2") model = AutoModelForSequenceClassification.from_pretrained("budecosystem/Maxwell-TCS-v0.2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Improve model card: Correct pipeline tag and add paper/Github links
#1
by nielsr HF Staff - opened
This PR improves the model card by:
- Correcting the
pipeline_tagtotext-classification, which accurately reflects the model's function as a task complexity scorer. - Adding a link to the paper: PiSSA: Principal Singular Values and Singular Vectors Adaptation of Large Language Models
- Adding a link to the Github repository.
These changes enhance the model card's clarity and provide users with more context and access to related resources.
thinking-machines changed pull request status to merged