Instructions to use KennethEnevoldsen/dacy-large-encoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use KennethEnevoldsen/dacy-large-encoder with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="KennethEnevoldsen/dacy-large-encoder")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("KennethEnevoldsen/dacy-large-encoder") model = AutoModel.from_pretrained("KennethEnevoldsen/dacy-large-encoder") - Notebooks
- Google Colab
- Kaggle
Update README.md
Browse files
README.md
CHANGED
|
@@ -5,4 +5,6 @@ language:
|
|
| 5 |
---
|
| 6 |
# DaCy Encoder Large
|
| 7 |
|
| 8 |
-
|
|
|
|
|
|
|
|
|
| 5 |
---
|
| 6 |
# DaCy Encoder Large
|
| 7 |
|
| 8 |
+
The encoder of v0.2.0 [large model](https://huggingface.co/chcaa/da_dacy_large_trf) in DaCy.
|
| 9 |
+
|
| 10 |
+
This encoder is intended primarily for experimentation.
|