Instructions to use pyvene/reft_chat7b_1k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pyvene/reft_chat7b_1k with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("pyvene/reft_chat7b_1k", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload intkey_layer.9.comp.block_output.unit.pos.nunit.1#1.bin with huggingface_hub
Browse files
intkey_layer.9.comp.block_output.unit.pos.nunit.1#1.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:6140da7ddeba0a734ecd6aee45a673869e361643c1c49c47253eaa2b7d2f3013
|
| 3 |
+
size 100424
|