Instructions to use nliampi/blt-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nliampi/blt-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="nliampi/blt-model")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("nliampi/blt-model") model = AutoModel.from_pretrained("nliampi/blt-model") - Notebooks
- Google Colab
- Kaggle
Upload model
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 696
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:f86fc60869451901a39646e267f34d620526c07578e436a9ac7719d03b26bb69
|
| 3 |
size 696
|