Fill-Mask
Transformers
Safetensors
English
Vietnamese
distilbert
finance
esg
text-classification
bert
Instructions to use nguyen599/MaskESG-DistilBERT-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nguyen599/MaskESG-DistilBERT-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="nguyen599/MaskESG-DistilBERT-base")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("nguyen599/MaskESG-DistilBERT-base") model = AutoModelForMaskedLM.from_pretrained("nguyen599/MaskESG-DistilBERT-base") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a4aedef0e099baff19c5d7102a5204e7586beacb4cfe93c07dd68fc1da3b28ef
- Size of remote file:
- 5.97 kB
- SHA256:
- 9cf97e7d96ab6a89404119e6e9e2255a83e1f7fa655479d3759e8e1fa724c44c
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