Instructions to use mgh6/temp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mgh6/temp with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="mgh6/temp")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("mgh6/temp") model = AutoModelForMaskedLM.from_pretrained("mgh6/temp", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 500
Browse files
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 136048297
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:35606d0d278cbc56c3b64f6946eea918e33f119fe82c4a4e64966829b2d26c60
|
| 3 |
size 136048297
|
runs/Aug01_01-43-39_ba64cc00f18a/events.out.tfevents.1690857188.ba64cc00f18a.6384.3
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 sha256:752fb6ad75f401b27c4f7c01005072b4a2f0006e3b02695ff9479ad6d830776b
|
| 3 |
+
size 5076
|
runs/Aug01_01-43-39_ba64cc00f18a/events.out.tfevents.1690858164.ba64cc00f18a.6384.4
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:72a2070e5f9f1ae9908fc219b5c95a9dacf11b525dd9a488f025c0a96ae85c07
|
| 3 |
+
size 4294
|