Instructions to use Vlasta/DNADebertaK7 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Vlasta/DNADebertaK7 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Vlasta/DNADebertaK7")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("Vlasta/DNADebertaK7") model = AutoModelForMaskedLM.from_pretrained("Vlasta/DNADebertaK7") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 440000
Browse files- pytorch_model.bin +1 -1
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 237082909
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:283d28384b2cbf7cd2ce34676616b9be3762aaf8ac9e893d924b35579483c863
|
| 3 |
size 237082909
|