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:
- 4027c4c4969924542786b7e2b96b6e2eef88b5e4899c7010b42c988c2c5915c8
- Size of remote file:
- 1.08 GB
- SHA256:
- d3d9596c4e2afc260b82fa9d7e4983219a133d2988965b8b5c0dd95257676651
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