Instructions to use SpireLab/RESPIN_LanguageModels with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SpireLab/RESPIN_LanguageModels with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="SpireLab/RESPIN_LanguageModels")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("SpireLab/RESPIN_LanguageModels", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Delete train_data/muril_bh_domain/checkpoint-4740/rng_state.pth with huggingface_hub
Browse files
train_data/muril_bh_domain/checkpoint-4740/rng_state.pth
DELETED
|
@@ -1,3 +0,0 @@
|
|
| 1 |
-
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:2c9afe1aba4f99f67ff47a476d35ef83b49ca75cc2da61962433d26d445986b7
|
| 3 |
-
size 14244
|
|
|
|
|
|
|
|
|
|
|
|