Text Classification
Transformers
Safetensors
camembert
Generated from Trainer
text-embeddings-inference
Instructions to use thom-ndis/trainer_output with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use thom-ndis/trainer_output with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="thom-ndis/trainer_output")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("thom-ndis/trainer_output") model = AutoModelForSequenceClassification.from_pretrained("thom-ndis/trainer_output", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer_config.json from thom-ndis/trainer_output: direct link, hf CLI and curl.
- Browser
- Download file 401 Bytes
-
https://huggingface.co/thom-ndis/trainer_output/resolve/main/tokenizer_config.json
- Command line
-
hf download hf://thom-ndis/trainer_output/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/thom-ndis/trainer_output/resolve/main/tokenizer_config.json
401 Bytes
| { | |
| "add_prefix_space": true, | |
| "backend": "tokenizers", | |
| "bos_token": "<s>", | |
| "cls_token": "<s>", | |
| "eos_token": "</s>", | |
| "extra_special_tokens": [ | |
| "<s>NOTUSED", | |
| "</s>NOTUSED", | |
| "<unk>NOTUSED" | |
| ], | |
| "is_local": true, | |
| "mask_token": "<mask>", | |
| "model_max_length": 512, | |
| "pad_token": "<pad>", | |
| "sep_token": "</s>", | |
| "tokenizer_class": "CamembertTokenizer", | |
| "unk_token": "<unk>" | |
| } | |