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", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Delete train_data/muril_ch_domain/checkpoint-30663/rng_state.pth with huggingface_hub
Browse files
train_data/muril_ch_domain/checkpoint-30663/rng_state.pth
DELETED
|
@@ -1,3 +0,0 @@
|
|
| 1 |
-
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:7c845563310a221ad0236804a9577e46a5928023e42425fd9e7226668ec75f0f
|
| 3 |
-
size 14244
|
|
|
|
|
|
|
|
|
|
|
|