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
Commit ·
d30f888
1
Parent(s): 2613e69
Update config.json
Browse files- config.json +10 -10
config.json
CHANGED
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"hidden_dropout_prob": 0,
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"hidden_size": 1024,
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"id2label": {
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"0": "
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"1": "
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"2": "
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"3": "
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"4": "
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"initializer_range": 0.02,
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"inner_group_num": 1,
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"intermediate_size": 4096,
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"label2id": {
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},
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"layer_norm_eps": 1e-12,
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"max_position_embeddings": 512,
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"hidden_dropout_prob": 0,
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"hidden_size": 1024,
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"id2label": {
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"0": "O",
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"1": "B-AC",
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"2": "I-AC",
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"3": "B-LF",
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"4": "I-LF"
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},
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"initializer_range": 0.02,
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"inner_group_num": 1,
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"intermediate_size": 4096,
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"label2id": {
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"O": 0,
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"B-AC": 1,
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"I-AC": 2,
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"B-LF": 3,
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"I-LF": 4
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},
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"layer_norm_eps": 1e-12,
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"max_position_embeddings": 512,
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