Instructions to use mllm-dev/merge_diff_data_DROID with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mllm-dev/merge_diff_data_DROID with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="mllm-dev/merge_diff_data_DROID")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("mllm-dev/merge_diff_data_DROID") model = AutoModelForSequenceClassification.from_pretrained("mllm-dev/merge_diff_data_DROID") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 1
Browse files
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 497789648
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:09a04df067fe33ccf50efb84ae956516b9b3308d1fb44cad9e7f9054609474de
|
| 3 |
size 497789648
|
runs/Apr10_09-37-11_lambda-hyperplane02/events.out.tfevents.1712767040.lambda-hyperplane02.1740006.0
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:d4658f73360c635dc5b9477f9403088ad047a18b158b21da572b3c9bd21c4f8b
|
| 3 |
+
size 8185
|
training_args.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 4347
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:16a60529bbcd0ec86ea466fd577d1ea0fcfc193b74d5205b29f9d3fcd5864a3a
|
| 3 |
size 4347
|