Token Classification
Transformers
PyTorch
TensorBoard
bert
Generated from Trainer
Eval Results (legacy)
Instructions to use redevaaa/fin3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use redevaaa/fin3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="redevaaa/fin3")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("redevaaa/fin3") model = AutoModelForTokenClassification.from_pretrained("redevaaa/fin3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer_config.json from redevaaa/fin3: direct link, hf CLI and curl.
- Browser
- Download file 536 Bytes
-
https://huggingface.co/redevaaa/fin3/resolve/refs%2Fpr%2F1/tokenizer_config.json
- Command line
-
hf download hf://redevaaa/fin3@refs/pr/1/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/redevaaa/fin3/resolve/refs%2Fpr%2F1/tokenizer_config.json
536 Bytes
| { | |
| "cls_token": "[CLS]", | |
| "do_basic_tokenize": true, | |
| "do_lower_case": true, | |
| "mask_token": "[MASK]", | |
| "model_max_length": 512, | |
| "name_or_path": "nlpaueb/sec-bert-base", | |
| "never_split": null, | |
| "pad_token": "[PAD]", | |
| "sep_token": "[SEP]", | |
| "special_tokens_map_file": "/root/.cache/huggingface/hub/models--nlpaueb--sec-bert-base/snapshots/d511591f5e74052afdab08f1f14c4ff2a1e55749/special_tokens_map.json", | |
| "strip_accents": null, | |
| "tokenize_chinese_chars": true, | |
| "tokenizer_class": "BertTokenizer", | |
| "unk_token": "[UNK]" | |
| } | |