Instructions to use disanda/first_try_4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use disanda/first_try_4 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="disanda/first_try_4")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("disanda/first_try_4") model = AutoModelForMaskedLM.from_pretrained("disanda/first_try_4", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from disanda/first_try_4: direct link, hf CLI and curl.
- Browser
- Download file 711 kB
-
https://huggingface.co/disanda/first_try_4/resolve/main/tokenizer.json
- Command line
-
hf download hf://disanda/first_try_4/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/disanda/first_try_4/resolve/main/tokenizer.json
711 kB
File too large to display, you can check the raw version instead.