Text Classification
Transformers
PyTorch
TensorBoard
bert
Generated from Trainer
text-embeddings-inference
Instructions to use wvangils/NL_BERT_michelin_finetuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use wvangils/NL_BERT_michelin_finetuned with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="wvangils/NL_BERT_michelin_finetuned")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("wvangils/NL_BERT_michelin_finetuned") model = AutoModelForSequenceClassification.from_pretrained("wvangils/NL_BERT_michelin_finetuned", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer_config.json from wvangils/NL_BERT_michelin_finetuned: direct link, hf CLI and curl.
- Browser
- Download file 546 Bytes
-
https://huggingface.co/wvangils/NL_BERT_michelin_finetuned/resolve/b68d9561638ac39c50d0a3e094ec6785b47e70cf/tokenizer_config.json
- Command line
-
hf download hf://wvangils/NL_BERT_michelin_finetuned@b68d9561638ac39c50d0a3e094ec6785b47e70cf/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/wvangils/NL_BERT_michelin_finetuned/resolve/b68d9561638ac39c50d0a3e094ec6785b47e70cf/tokenizer_config.json
546 Bytes
| {"do_lower_case": false, "unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]", "tokenize_chinese_chars": true, "strip_accents": null, "model_max_length": 512, "special_tokens_map_file": "/root/.cache/huggingface/transformers/adb82a117c09b0f8768357de8e836a9e0610730782f82edc49dd0020c48f1d03.dd8bd9bfd3664b530ea4e645105f557769387b3da9f79bdb55ed556bdd80611d", "name_or_path": "GroNLP/bert-base-dutch-cased", "do_basic_tokenize": true, "never_split": null, "tokenizer_class": "BertTokenizer"} |