Instructions to use NasimB/bert-concat-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NasimB/bert-concat-2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="NasimB/bert-concat-2")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("NasimB/bert-concat-2") model = AutoModelForMaskedLM.from_pretrained("NasimB/bert-concat-2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
End of training
cdaf10f -
Training in progress, step 38000
efaac19 -
Training in progress, step 37000
e6dca5a -
Training in progress, step 36000
146b035 -
Training in progress, step 35000
44bf086 -
Training in progress, step 34000
7b5f31c -
Training in progress, step 33000
3ad04e5 -
Training in progress, step 32000
4f228f5 -
Training in progress, step 31000
c3a0aea -
Training in progress, step 30000
11a5ee6 -
Training in progress, step 29000
27e3ae3 -
Training in progress, step 28000
92c1aaa -
Training in progress, step 27000
f846414 -
Training in progress, step 26000
74b8f89 -
Training in progress, step 25000
1805bef -
Training in progress, step 24000
f17849e -
Training in progress, step 23000
74eb136 -
Training in progress, step 22000
e457f77 -
Training in progress, step 21000
d20065f -
Training in progress, step 20000
c7fa8b5 -
Training in progress, step 19000
8c009c7 -
Training in progress, step 18000
f05e845 -
Training in progress, step 17000
1a1576e -
Training in progress, step 16000
cbf296b -
Training in progress, step 15000
36fd065 -
Training in progress, step 14000
3821044 -
Training in progress, step 13000
7c9aa13 -
Training in progress, step 12000
67b7339 -
Training in progress, step 11000
3b15d14 -
Training in progress, step 10000
7365eae -
Training in progress, step 9000
90bdd1e -
Training in progress, step 8000
b26967d -
Training in progress, step 7000
fa5abfc -
Training in progress, step 6000
bb5e92d -
Training in progress, step 5000
2f8d72d -
Training in progress, step 4000
e3a9772 -
Training in progress, step 3000
b83f9b1 -
Training in progress, step 2000
e0a4779 -
Training in progress, step 1000
380c6da
-
Training in progress, step 45000
2080ffe -
Training in progress, step 44000
86894bf -
Training in progress, step 43000
80a85db -
Training in progress, step 42000
9f829a7 -
Training in progress, step 41000
1c1d0e3 -
Training in progress, step 40000
02d4e1c -
Training in progress, step 39000
38decd8 -
Training in progress, step 38000
432b51d -
Training in progress, step 37000
8e5e485 -
Training in progress, step 36000
075f6cf -
Training in progress, step 35000
d8cf489