Instructions to use celtics1863/env-topic-albert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use celtics1863/env-topic-albert with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("celtics1863/env-topic-albert") model = AutoModel.from_pretrained("celtics1863/env-topic-albert", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from celtics1863/env-topic-albert: direct link, hf CLI and curl.
- Browser
- Download file 16.4 MB
-
https://huggingface.co/celtics1863/env-topic-albert/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://celtics1863/env-topic-albert/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/celtics1863/env-topic-albert/resolve/main/pytorch_model.bin
16.4 MB
- Xet hash:
- fb44dfbb15d09c71da6d2b0a036c7447b883807e92957538a890693477bbf755
- Size of remote file:
- 16.4 MB
- SHA256:
- 4859ca77aa2d0d1fec3fd541f2e88d5b6b338a0c265b1ae9fced94ce9fce986e
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