Instructions to use NLP-Search/final-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NLP-Search/final-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="NLP-Search/final-model")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("NLP-Search/final-model") model = AutoModelForMaskedLM.from_pretrained("NLP-Search/final-model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from NLP-Search/final-model: direct link, hf CLI and curl.
- Browser
- Download file 1.34 GB
-
https://huggingface.co/NLP-Search/final-model/resolve/refs%2Fpr%2F1/pytorch_model.bin
- Command line
-
hf download hf://NLP-Search/final-model@refs/pr/1/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/NLP-Search/final-model/resolve/refs%2Fpr%2F1/pytorch_model.bin
1.34 GB
- Xet hash:
- e46f06d7cdaf4bb2712e135c236d201a089fa900af407bc8a20477da80f8f601
- Size of remote file:
- 1.34 GB
- SHA256:
- 3aa602e8177b1deca398e906540f2350a782b90c9745b9d6361edf8ccf69b396
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