Instructions to use nidhinthomas/esm2_t12_35M_UR50D-finetuned-secondary-structure with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nidhinthomas/esm2_t12_35M_UR50D-finetuned-secondary-structure with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="nidhinthomas/esm2_t12_35M_UR50D-finetuned-secondary-structure")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("nidhinthomas/esm2_t12_35M_UR50D-finetuned-secondary-structure") model = AutoModelForTokenClassification.from_pretrained("nidhinthomas/esm2_t12_35M_UR50D-finetuned-secondary-structure", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
0d8578f
1
Parent(s): 10b47b1
Training in progress, epoch 3
Browse files- model.safetensors +1 -1
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 135078472
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:dc010a6c06245532badacafe3f149dc11a3eb8fa7c0d6645adff0dad92001225
|
| 3 |
size 135078472
|