Instructions to use ContextSearchLM/vinilm_dropinfonce_triplet_temp07_v02 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ContextSearchLM/vinilm_dropinfonce_triplet_temp07_v02 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="ContextSearchLM/vinilm_dropinfonce_triplet_temp07_v02")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("ContextSearchLM/vinilm_dropinfonce_triplet_temp07_v02") model = AutoModel.from_pretrained("ContextSearchLM/vinilm_dropinfonce_triplet_temp07_v02", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Ctrl+K
loss, pair_pos, diff_pos, pair_neg, diff_neg: [0.1629326343536377, 0.7423454523086548, 0.1353069543838501, 0.20220249891281128, 0.10411127656698227]
867c4b8 verified