Instructions to use g8a9/roberta-tiny-10M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use g8a9/roberta-tiny-10M with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="g8a9/roberta-tiny-10M")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("g8a9/roberta-tiny-10M") model = AutoModelForMaskedLM.from_pretrained("g8a9/roberta-tiny-10M", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 2600
Browse files
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 380407940
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:3127b30398810f2a4ae0753a58479429d4f7489e9e38a0975475754063e47c5e
|
| 3 |
size 380407940
|
runs/Feb14_00-12-10_monica.sm.unibocconi.it/events.out.tfevents.1676330009.monica.sm.unibocconi.it.4164817.0
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 sha256:0feae7979483ddfa1256f0698e89f45213e0374c9224b191ab80b3fdc28cd11d
|
| 3 |
+
size 61445
|