Instructions to use YYLY66/mRNABERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use YYLY66/mRNABERT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="YYLY66/mRNABERT", trust_remote_code=True)# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("YYLY66/mRNABERT", trust_remote_code=True) model = AutoModelForMaskedLM.from_pretrained("YYLY66/mRNABERT", trust_remote_code=True) - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#2
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:21f0a3b2b7ee007a1f5fc497c3d7f8223e6b51b0337ac1011bdfcee52e60781f
|
| 3 |
+
size 455941336
|