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
Commit ·
f9e683f
1
Parent(s): 1bd7a5d
Adding `safetensors` variant of this model (#1)
Browse files- Adding `safetensors` variant of this model (47d433c2fc64d3e60b8c2444ff02758dcefeae1b)
Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>
- model.safetensors +3 -0
model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:8101f0c3f6408a1fd3dce33077569d6c99342065d6a4b94594dfc8529ccc98b8
|
| 3 |
+
size 437961112
|