[Docs] Add language identifiers to fenced code blocks (#28955)

Add language identifiers to code blocks
This commit is contained in:
Klaus Hipp
2024-02-12 19:48:31 +01:00
committed by GitHub
parent c617f988f8
commit fe3df9d5b3
66 changed files with 137 additions and 137 deletions

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@@ -53,7 +53,7 @@ Coming soon!
Most examples are equipped with a mechanism to truncate the number of dataset samples to the desired length. This is useful for debugging purposes, for example to quickly check that all stages of the programs can complete, before running the same setup on the full dataset which may take hours to complete.
For example here is how to truncate all three splits to just 50 samples each:
```
```bash
examples/pytorch/token-classification/run_ner.py \
--max_train_samples 50 \
--max_eval_samples 50 \
@@ -62,7 +62,7 @@ examples/pytorch/token-classification/run_ner.py \
```
Most example scripts should have the first two command line arguments and some have the third one. You can quickly check if a given example supports any of these by passing a `-h` option, e.g.:
```
```bash
examples/pytorch/token-classification/run_ner.py -h
```

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@@ -277,7 +277,7 @@ language or concept the adapter layers shall be trained. The adapter weights wil
accordingly be called `adapter.{<target_language}.safetensors`.
Let's run an example script. Make sure to be logged in so that your model can be directly uploaded to the Hub.
```
```bash
huggingface-cli login
```