Fill-Mask
Transformers
Safetensors
English
bert
wastewater
water-treatment
environmental-science
scibert
domain-adaptive-pretraining
Instructions to use Mudi12137/WaterBERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Mudi12137/WaterBERT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Mudi12137/WaterBERT")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("Mudi12137/WaterBERT") model = AutoModelForMaskedLM.from_pretrained("Mudi12137/WaterBERT", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from Mudi12137/WaterBERT: direct link, hf CLI and curl.
- Browser
- Download file 717 kB
-
https://huggingface.co/Mudi12137/WaterBERT/resolve/main/tokenizer.json
- Command line
-
hf download hf://Mudi12137/WaterBERT/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/Mudi12137/WaterBERT/resolve/main/tokenizer.json
717 kB
File too large to display, you can check the raw version instead.