Instructions to use EdBerg/output_baha_trained with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use EdBerg/output_baha_trained with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-2-7b-chat-hf") model = PeftModel.from_pretrained(base_model, "EdBerg/output_baha_trained") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 70
Browse files
adapter_model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 319876032
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:a1a990fd66078bbe3abd13806ba9e89524a630dd5925700e9ee86fbce1da154c
|
| 3 |
size 319876032
|
runs/Jul29_19-13-30_275ca821e1cc/events.out.tfevents.1722280444.275ca821e1cc.597.1
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
-
size
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:f997bf470f14cdf7908d0e4a5a4c9708fca7c94bcc0352d41d32b26435513b3e
|
| 3 |
+
size 7205
|