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| author | Laurent Mazare <laurent.mazare@gmail.com> | 2024-10-26 11:25:04 +0200 |
|---|---|---|
| committer | GitHub <noreply@github.com> | 2024-10-26 11:25:04 +0200 |
| commit | 3699c1a053c2789775837552b2eec37afd436c7d (patch) | |
| tree | 8647146fbbfdb89c14c0ea1df98b0cf23f97c189 /candle-book | |
| parent | a2e9d41b2062be5b45c84d24fe2bf4527ec27cee (diff) | |
| download | candle-3699c1a053c2789775837552b2eec37afd436c7d.tar.gz candle-3699c1a053c2789775837552b2eec37afd436c7d.tar.bz2 candle-3699c1a053c2789775837552b2eec37afd436c7d.zip | |
Fix the repo name for llama 3.1. (#2576)
* Fix the repo name for llama 3.1.
* Fix the book.
Diffstat (limited to 'candle-book')
| -rw-r--r-- | candle-book/src/inference/hub.md | 8 |
1 files changed, 4 insertions, 4 deletions
diff --git a/candle-book/src/inference/hub.md b/candle-book/src/inference/hub.md index e8d8b267..fb6f9e51 100644 --- a/candle-book/src/inference/hub.md +++ b/candle-book/src/inference/hub.md @@ -11,8 +11,8 @@ Then let's start by downloading the [model file](https://huggingface.co/bert-bas ```rust # extern crate candle_core; -# extern crate hf_hub; -use hf_hub::api::sync::Api; +# extern crate candle_hf_hub; +use candle_hf_hub::api::sync::Api; use candle_core::Device; let api = Api::new().unwrap(); @@ -50,8 +50,8 @@ Now that we have our weights, we can use them in our bert architecture: ```rust # extern crate candle_core; # extern crate candle_nn; -# extern crate hf_hub; -# use hf_hub::api::sync::Api; +# extern crate candle_hf_hub; +# use candle_hf_hub::api::sync::Api; # # let api = Api::new().unwrap(); # let repo = api.model("bert-base-uncased".to_string()); |