Instructions to use bowphs/PhilTa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bowphs/PhilTa with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("bowphs/PhilTa") model = AutoModelForSeq2SeqLM.from_pretrained("bowphs/PhilTa", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download flax_model.msgpack from bowphs/PhilTa: direct link, hf CLI and curl.
- Browser
- Download file 1.19 GB
-
https://huggingface.co/bowphs/PhilTa/resolve/main/flax_model.msgpack
- Command line
-
hf download hf://bowphs/PhilTa/flax_model.msgpack
-
curl -L -o flax_model.msgpack https://huggingface.co/bowphs/PhilTa/resolve/main/flax_model.msgpack
1.19 GB
- Xet hash:
- 9eaeb5b50abc6a87534a28ffa094e8578a51a2f4b6e67ca8a33fc476ae113ba1
- Size of remote file:
- 1.19 GB
- SHA256:
- 73ec372068fc4aec5d49b6e38ae8382f88368506c205f4d760ae6f0ccb3c88a3
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