Instructions to use SamuelYang/SentMAE_MSMARCO_Domain with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SamuelYang/SentMAE_MSMARCO_Domain with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="SamuelYang/SentMAE_MSMARCO_Domain")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("SamuelYang/SentMAE_MSMARCO_Domain") model = AutoModelForMaskedLM.from_pretrained("SamuelYang/SentMAE_MSMARCO_Domain", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
0ccfd68
1
Parent(s): 6a6c11b
Upload pytorch_model.bin
Browse files- pytorch_model.bin +3 -0
pytorch_model.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:6eeda6da2000b6b2d02130c674900bc7b9451f7a214d63868e0a935a0d53beaf
|
| 3 |
+
size 438128811
|