Instructions to use simecek/DNAMobileBert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use simecek/DNAMobileBert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="simecek/DNAMobileBert")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("simecek/DNAMobileBert") model = AutoModelForMaskedLM.from_pretrained("simecek/DNAMobileBert") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 110000
Browse files
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 92558331
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:8d77012afe92a31692c5aa591fd73bf837a056ba641a0783160974c395bb52a4
|
| 3 |
size 92558331
|
runs/Jun13_16-28-20_b841c96fea79/events.out.tfevents.1655137735.b841c96fea79.162.0
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:d8ace9dbe01d0c064216a9045af43438473dadfc26a9fddb3e6edb899d73ad9d
|
| 3 |
+
size 8422
|