Instructions to use ContextSearchLM/vinilm_dropinfonce_contrast_temp01_v02 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ContextSearchLM/vinilm_dropinfonce_contrast_temp01_v02 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="ContextSearchLM/vinilm_dropinfonce_contrast_temp01_v02")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("ContextSearchLM/vinilm_dropinfonce_contrast_temp01_v02") model = AutoModel.from_pretrained("ContextSearchLM/vinilm_dropinfonce_contrast_temp01_v02") - Notebooks
- Google Colab
- Kaggle
Ctrl+K
loss, pair_pos, diff_pos, pair_neg, diff_neg: [0.20749104022979736, 0.7608945369720459, 0.23158541321754456]
dfa07fb verified