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Just re-reading the whole doc every couple of months 😬 (#18489)

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* Delete valohai.yaml

* NLP => ML

* typo

* website supports https

* datasets

* 60k + modalities

* unrelated link fixing for accelerate

* Ok those links were actually broken

* Fix link

* Make `AutoTokenizer` auto-link

* wording tweak

* add at least one non-nlp task
This commit is contained in:
Julien Chaumond
2022-08-06 09:38:55 +02:00
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commit 8d1f9039d0
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docs/source/en/pipeline_tutorial.mdx
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@@ -67,7 +67,7 @@ Any additional parameters for your task can also be included in the [`pipeline`]
### Choose a model and tokenizer
The [`pipeline`] accepts any model from the [Model Hub](https://huggingface.co/models). There are tags on the Model Hub that allow you to filter for a model you'd like to use for your task. Once you've picked an appropriate model, load it with the corresponding `AutoModelFor` and [`AutoTokenizer'] class. For example, load the [`AutoModelForCausalLM`] class for a causal language modeling task:
The [`pipeline`] accepts any model from the [Model Hub](https://huggingface.co/models). There are tags on the Model Hub that allow you to filter for a model you'd like to use for your task. Once you've picked an appropriate model, load it with the corresponding `AutoModelFor` and [`AutoTokenizer`] class. For example, load the [`AutoModelForCausalLM`] class for a causal language modeling task:
```py
>>> from transformers import AutoTokenizer, AutoModelForCausalLM