Instructions to use yochen/distilroberta-base-wiki-mark with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use yochen/distilroberta-base-wiki-mark with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="yochen/distilroberta-base-wiki-mark")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("yochen/distilroberta-base-wiki-mark") model = AutoModelForMaskedLM.from_pretrained("yochen/distilroberta-base-wiki-mark", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 62500
Browse files
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 328723186
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:f1486745b516025bc6723c57de281a500dc535bea5895ad00b95733ba460ed0c
|
| 3 |
size 328723186
|
runs/Jul14_14-12-16_cg/events.out.tfevents.1657808103.cg.20115.5
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:e60179e02fbee9e2a0a2b8ec39b2fdbaf02d2a27b65d50db30e2de2adb4c752c
|
| 3 |
+
size 61314
|