Instructions to use jabo/GenderSequenceAnnotation-bert-base-german-cased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jabo/GenderSequenceAnnotation-bert-base-german-cased with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="jabo/GenderSequenceAnnotation-bert-base-german-cased")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("jabo/GenderSequenceAnnotation-bert-base-german-cased") model = AutoModelForTokenClassification.from_pretrained("jabo/GenderSequenceAnnotation-bert-base-german-cased", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Upload tokenizer
Verified signatured909e7c -
Upload BertForTokenClassification
Verified signature36af25d -
Upload tokenizer
Verified signature45f4942 -
Upload BertForTokenClassification
Verified signature096413d -
Upload tokenizer
Verified signature9a64167 -
Upload BertForTokenClassification
Verified signature74b8e18 -
Upload tokenizer
Verified signature7301b09 -
Upload BertForTokenClassification
Verified signaturebd2777a
-
Upload tokenizer
Verified signature6e830cb -
Upload BertForTokenClassification
Verified signatured85718e -
Upload tokenizer
Verified signature626e9b0 -
Upload BertForTokenClassification
Verified signature4a8bf42 -
Upload tokenizer
Verified signature442b082 -
Upload BertForTokenClassification
Verified signature8e54294 -
Upload tokenizer
Verified signatured2e8d99 -
Upload BertForTokenClassification
Verified signaturea198548 -
initial commit
Verified signature0c538ea