Text Classification
Transformers
Safetensors
English
Vietnamese
xlm-roberta
finance
esg
financial-text-analysis
bert
text-embeddings-inference
Instructions to use nguyen599/ViXML-RoBERTa-ESG-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nguyen599/ViXML-RoBERTa-ESG-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="nguyen599/ViXML-RoBERTa-ESG-base")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("nguyen599/ViXML-RoBERTa-ESG-base") model = AutoModelForSequenceClassification.from_pretrained("nguyen599/ViXML-RoBERTa-ESG-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 280 Bytes
8d2f37c | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 | {
"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>"
}
|