Token Classification
Transformers
PyTorch
Safetensors
English
albert
Generated from Trainer
Eval Results (legacy)
Instructions to use surrey-nlp/albert-large-v2-finetuned-abbDet with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use surrey-nlp/albert-large-v2-finetuned-abbDet with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="surrey-nlp/albert-large-v2-finetuned-abbDet")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("surrey-nlp/albert-large-v2-finetuned-abbDet") model = AutoModelForTokenClassification.from_pretrained("surrey-nlp/albert-large-v2-finetuned-abbDet", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 93805c7cfabe400be0f83b4cb91fca4cb1b9eaef8235ce4516d8d752cf7df591
- Size of remote file:
- 66.6 MB
- SHA256:
- 92385d2258e1019e4d2a9c371d9c5dc73b14c582af0d66db35942e08dda5cd10
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