Instructions to use ManojAlexender/roberta-base_MLM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ManojAlexender/roberta-base_MLM with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="ManojAlexender/roberta-base_MLM", device_map="auto")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("ManojAlexender/roberta-base_MLM") model = AutoModelForMaskedLM.from_pretrained("ManojAlexender/roberta-base_MLM", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 240000
Browse files- model.safetensors +1 -1
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 498813948
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:fe9bfb747828563469a68737529323e6f8f792c510197d17a624a55114f9270f
|
| 3 |
size 498813948
|