Instructions to use juancavallotti/roberta-base-culinary with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use juancavallotti/roberta-base-culinary with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="juancavallotti/roberta-base-culinary")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("juancavallotti/roberta-base-culinary") model = AutoModelForMaskedLM.from_pretrained("juancavallotti/roberta-base-culinary") - Notebooks
- Google Colab
- Kaggle
Commit ·
d176dca
1
Parent(s): bd250c8
End of training
Browse files
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 438128811
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:405e6c88a1c97aa645949422691b8376d13a5834b2880ac5fb593d1fd2dcbf10
|
| 3 |
size 438128811
|
runs/Apr21_03-20-48_a536b8a6346e/events.out.tfevents.1650511255.a536b8a6346e.1797.0
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:ab3568c9435a8b157de2d968ed7e2653990c941e0a05fec93a1e04abb70542c8
|
| 3 |
+
size 81399
|