Instructions to use tannonk/bart_mini-MLM_PS-s23 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tannonk/bart_mini-MLM_PS-s23 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("tannonk/bart_mini-MLM_PS-s23") model = AutoModelForSeq2SeqLM.from_pretrained("tannonk/bart_mini-MLM_PS-s23", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model (#1)
Browse files- Adding `safetensors` variant of this model (46f254a3ca36dfd56db49d4f269b57687ae2fba3)
Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>
- model.safetensors +3 -0
model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:5ab7cb6ca3cdc965c3c22ea9b191a19a91e67342a2a09f24d1ae3b2d21ebc78a
|
| 3 |
+
size 4028584
|