Text Classification
Transformers
PyTorch
Safetensors
French
camembert
financial-sentiment-analysis
sentiment-analysis
Eval Results (legacy)
text-embeddings-inference
Instructions to use bardsai/finance-sentiment-fr-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bardsai/finance-sentiment-fr-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="bardsai/finance-sentiment-fr-base")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("bardsai/finance-sentiment-fr-base") model = AutoModelForSequenceClassification.from_pretrained("bardsai/finance-sentiment-fr-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download special_tokens_map.json from bardsai/finance-sentiment-fr-base: direct link, hf CLI and curl.
- Browser
- Download file 354 Bytes
-
https://huggingface.co/bardsai/finance-sentiment-fr-base/resolve/4aa77188d1b1f0b27f472983bb4196b111d560e1/special_tokens_map.json
- Command line
-
hf download hf://bardsai/finance-sentiment-fr-base@4aa77188d1b1f0b27f472983bb4196b111d560e1/special_tokens_map.json
-
curl -L -o special_tokens_map.json https://huggingface.co/bardsai/finance-sentiment-fr-base/resolve/4aa77188d1b1f0b27f472983bb4196b111d560e1/special_tokens_map.json
354 Bytes
| { | |
| "additional_special_tokens": [ | |
| "<s>NOTUSED", | |
| "</s>NOTUSED" | |
| ], | |
| "bos_token": "<s>", | |
| "cls_token": "<s>", | |
| "eos_token": "</s>", | |
| "mask_token": { | |
| "content": "<mask>", | |
| "lstrip": true, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false | |
| }, | |
| "pad_token": "<pad>", | |
| "sep_token": "</s>", | |
| "unk_token": "<unk>" | |
| } | |