Instructions to use codejin/distilroberta-base-finetuned-wikitext2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use codejin/distilroberta-base-finetuned-wikitext2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="codejin/distilroberta-base-finetuned-wikitext2")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("codejin/distilroberta-base-finetuned-wikitext2") model = AutoModelForMaskedLM.from_pretrained("codejin/distilroberta-base-finetuned-wikitext2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 2500
Browse files
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 328693404
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:5a15a0c815df15becc9584f086f67e6243fda68746a7e61c0f265ae8abab7aad
|
| 3 |
size 328693404
|
runs/Jan11_11-35-34_c090958f50e8/events.out.tfevents.1704972937.c090958f50e8.796.2
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 sha256:567182ea745abf8ad242175f53b7e221b710854e96889e5658161776003c5c45
|
| 3 |
+
size 5338
|