Instructions to use pere/roberta-base-exp-8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pere/roberta-base-exp-8 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="pere/roberta-base-exp-8")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("pere/roberta-base-exp-8") model = AutoModelForMaskedLM.from_pretrained("pere/roberta-base-exp-8", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
finished
6906b05 -
Merge branch 'main' of https://huggingface.co/pere/roberta-base-exp-8 into main
e007115 -
final
0bc6ad1
-
Saving weights and logs of step 275001
bd02a54 -
Saving weights and logs of step 250001
3635267 -
Saving weights and logs of step 225001
70961af -
Saving weights and logs of step 200001
b64481c
-
Saving weights and logs of step 175001
976b10c -
Saving weights and logs of step 150001
75e9289 -
Saving weights and logs of step 125001
1c9104b -
Saving weights and logs of step 100001
23cdf74 -
Saving weights and logs of step 75001
6c73ce8
-
Saving weights and logs of step 50001
8430e04 -
Saving weights and logs of step 25001
3de5928 -
Merge branch 'main' of https://huggingface.co/pere/roberta-base-exp-8 into main
e17d15e -
first
6388137 -
Saving weights and logs of step 175001
540d145
-
Saving weights and logs of step 150001
8cd3311 -
Saving weights and logs of step 125001
301c0e9 -
Saving weights and logs of step 100001
4a7ef48 -
Saving weights and logs of step 75001
2e4e605
-
Saving weights and logs of step 50001
10174ae -
Saving weights and logs of step 25001
9593bef
-
Original fixed
24a1f9a -
Original
fdae827 -
initial commit
997f48c