Instructions to use McGill-NLP/dpr-statcan-conversation_encoder-title with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use McGill-NLP/dpr-statcan-conversation_encoder-title with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="McGill-NLP/dpr-statcan-conversation_encoder-title")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("McGill-NLP/dpr-statcan-conversation_encoder-title") model = AutoModel.from_pretrained("McGill-NLP/dpr-statcan-conversation_encoder-title") - Notebooks
- Google Colab
- Kaggle
File size: 134 Bytes
1bd7a5d | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:15a29a1baa2183d05c5f5f2e742ac25be47996931c991b54f58699eee61bc2b4
size 438022001
|