Instructions to use ugiugi/distilbert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ugiugi/distilbert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="ugiugi/distilbert")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("ugiugi/distilbert") model = AutoModelForMaskedLM.from_pretrained("ugiugi/distilbert", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 47000
Browse files
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 267978033
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:ec676bdbaf2c5b810f32e124064d863048275d16a6a8be108ef7ce6510310122
|
| 3 |
size 267978033
|
runs/May28_08-49-01_8ec55c12ff49/events.out.tfevents.1685263768.8ec55c12ff49.6357.0
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 sha256:98028d115745ad852cabc25576ffd6cf0900b78a00b3cc000f2f12890fe44c79
|
| 3 |
+
size 18825
|