Instructions to use ClaudeYang/awesome_fb_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ClaudeYang/awesome_fb_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("zero-shot-classification", model="ClaudeYang/awesome_fb_model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ClaudeYang/awesome_fb_model") model = AutoModelForSequenceClassification.from_pretrained("ClaudeYang/awesome_fb_model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f35df4c1b9da145eed6f0b50a09e9232895eb31487e335046a5f0a87f45bda69
- Size of remote file:
- 1.63 GB
- SHA256:
- 734de47d09727666d620532eed38a3142018344d2a0adca37cb9a0480a512499
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.