Text Classification
Transformers
Safetensors
English
stencil_sentence_classifier
conversation-memory
instruction-following
sentence-classification
bge
custom_code
Eval Results (legacy)
Instructions to use bmarti44/assistant-memory-sentence-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bmarti44/assistant-memory-sentence-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="bmarti44/assistant-memory-sentence-classifier", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForSequenceClassification model = AutoModelForSequenceClassification.from_pretrained("bmarti44/assistant-memory-sentence-classifier", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer_config.json from bmarti44/assistant-memory-sentence-classifier: direct link, hf CLI and curl.
- Browser
- Download file 630 Bytes
-
https://huggingface.co/bmarti44/assistant-memory-sentence-classifier/resolve/main/tokenizer_config.json
- Command line
-
hf download hf://bmarti44/assistant-memory-sentence-classifier/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/bmarti44/assistant-memory-sentence-classifier/resolve/main/tokenizer_config.json
630 Bytes
| { | |
| "backend": "tokenizers", | |
| "clean_up_tokenization_spaces": true, | |
| "cls_token": "[CLS]", | |
| "do_basic_tokenize": true, | |
| "do_lower_case": true, | |
| "is_local": true, | |
| "local_files_only": false, | |
| "mask_token": "[MASK]", | |
| "max_length": 192, | |
| "model_max_length": 512, | |
| "never_split": null, | |
| "pad_to_multiple_of": null, | |
| "pad_token": "[PAD]", | |
| "pad_token_type_id": 0, | |
| "padding_side": "right", | |
| "sep_token": "[SEP]", | |
| "stride": 0, | |
| "strip_accents": null, | |
| "tokenize_chinese_chars": true, | |
| "tokenizer_class": "BertTokenizer", | |
| "truncation_side": "right", | |
| "truncation_strategy": "only_first", | |
| "unk_token": "[UNK]" | |
| } | |