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: 132 Bytes
8d2f37c | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:cfc8146abe2a0488e9e2a0c56de7952f7c11ab059eca145a0a727afce0db2865
size 5069051
|