Instructions to use Bachstelze/instructionBERTtest-encoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Bachstelze/instructionBERTtest-encoder with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="Bachstelze/instructionBERTtest-encoder")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("Bachstelze/instructionBERTtest-encoder") model = AutoModel.from_pretrained("Bachstelze/instructionBERTtest-encoder") - Notebooks
- Google Colab
- Kaggle
Commit ·
a0b7f18
1
Parent(s): dcc6aa0
Update README.md
Browse files
README.md
CHANGED
|
@@ -1,3 +1,6 @@
|
|
| 1 |
---
|
| 2 |
license: mit
|
|
|
|
| 3 |
---
|
|
|
|
|
|
|
|
|
| 1 |
---
|
| 2 |
license: mit
|
| 3 |
+
pipeline_tag: fill-mask
|
| 4 |
---
|
| 5 |
+
|
| 6 |
+
This is the tied encoder and decoder of the test [instructionBERT](https://huggingface.co/Bachstelze/instructionBERTtest) as standalone encoder.
|