Instructions to use serdarcaglar/roberta-base-biomedical-es with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use serdarcaglar/roberta-base-biomedical-es with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="serdarcaglar/roberta-base-biomedical-es")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("serdarcaglar/roberta-base-biomedical-es") model = AutoModelForMaskedLM.from_pretrained("serdarcaglar/roberta-base-biomedical-es") - Notebooks
- Google Colab
- Kaggle
Commit ·
60ddb1e
1
Parent(s): 9a95b86
Update README.md
Browse files
README.md
CHANGED
|
@@ -106,10 +106,13 @@ Please share the results you get in the NER task using this model. I can add the
|
|
| 106 |
### Author
|
| 107 |
Serdar ÇAĞLAR
|
| 108 |
### Contact information
|
| 109 |
-
|
| 110 |
Linkedin: <https://www.linkedin.com/in/serdarildercaglar/>
|
| 111 |
|
| 112 |
|
|
|
|
|
|
|
|
|
|
| 113 |
|
| 114 |
### Licensing information
|
| 115 |
[Apache License, Version 2.0](https://www.apache.org/licenses/LICENSE-2.0)
|
|
|
|
| 106 |
### Author
|
| 107 |
Serdar ÇAĞLAR
|
| 108 |
### Contact information
|
| 109 |
+
|
| 110 |
Linkedin: <https://www.linkedin.com/in/serdarildercaglar/>
|
| 111 |
|
| 112 |
|
| 113 |
+
For further information, send an email to <serdarildercaglar@gmail.com>
|
| 114 |
+
|
| 115 |
+
|
| 116 |
|
| 117 |
### Licensing information
|
| 118 |
[Apache License, Version 2.0](https://www.apache.org/licenses/LICENSE-2.0)
|