Instructions to use scherrmann/GermanFinBert_FP with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use scherrmann/GermanFinBert_FP with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="scherrmann/GermanFinBert_FP")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("scherrmann/GermanFinBert_FP") model = AutoModelForMaskedLM.from_pretrained("scherrmann/GermanFinBert_FP") - Notebooks
- Google Colab
- Kaggle
Commit ·
65a7495
1
Parent(s): b54df64
Update README.md
Browse files
README.md
CHANGED
|
@@ -53,6 +53,5 @@ For additional details regarding the performance on fine-tune datasets and bench
|
|
| 53 |
|
| 54 |
See also:
|
| 55 |
- scherrmann/GermanFinBERT_SC
|
| 56 |
-
- scherrmann/GermanFinBERT_FP_Topic
|
| 57 |
- scherrmann/GermanFinBERT_FP_QuAD
|
| 58 |
- scherrmann/GermanFinBERT_SC_Sentiment
|
|
|
|
| 53 |
|
| 54 |
See also:
|
| 55 |
- scherrmann/GermanFinBERT_SC
|
|
|
|
| 56 |
- scherrmann/GermanFinBERT_FP_QuAD
|
| 57 |
- scherrmann/GermanFinBERT_SC_Sentiment
|