Instructions to use bobox/DeBERTaV3-base-GeneralSentenceTransformer-checkpoints-tmp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bobox/DeBERTaV3-base-GeneralSentenceTransformer-checkpoints-tmp with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="bobox/DeBERTaV3-base-GeneralSentenceTransformer-checkpoints-tmp")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("bobox/DeBERTaV3-base-GeneralSentenceTransformer-checkpoints-tmp") model = AutoModel.from_pretrained("bobox/DeBERTaV3-base-GeneralSentenceTransformer-checkpoints-tmp") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:e853674c168e8131db4da49a906e7aefd3b0985c48821a31c80a338dd6713b2f
|
| 3 |
+
size 735348840
|