Remove Falcon docs for the release until TGI is ready (#24808)

* Remove Falcon docs for the release until TGI is ready

* Update toctree

docs/source/en/_toctree.yml

@@ -295,8 +295,6 @@
         title: ErnieM
       - local: model_doc/esm
         title: ESM
-      - local: model_doc/falcon
-        title: Falcon
       - local: model_doc/flan-t5
         title: FLAN-T5
       - local: model_doc/flan-ul2

docs/source/en/model_doc/falcon.md

@@ -1,66 +0,0 @@
-<!--Copyright 2023 The HuggingFace Team. All rights reserved.
-
-Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
-the License. You may obtain a copy of the License at
-
-http://www.apache.org/licenses/LICENSE-2.0
-
-Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on
-an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the
-specific language governing permissions and limitations under the License.
-
-⚠️ Note that this file is in Markdown but contain specific syntax for our doc-builder (similar to MDX) that may not be
-rendered properly in your Markdown viewer.
-
--->
-
-# Falcon
-
-## Overview
-
-Falcon is a state-of-the-art language model trained on the [RefinedWeb dataset](https://arxiv.org/abs/2306.01116). At the time of writing, it is the leading model on the [OpenLLM leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard). 
-
-There is no paper associated with Falcon yet, but for citation information please see [the repository for Falcon-40B](https://huggingface.co/tiiuae/falcon-40b#citation), the highest-performance Falcon model. 
-
-- The model and tokenizer can be loaded via:
-
-```python
-from transformers import AutoModelForCausalLM, AutoTokenizer
-
-tokenizer = AutoTokenizer.from_pretrained("tiiuae/falcon-40b-instruct")
-model = AutoModelForCausalLM.from_pretrained("tiiuae/falcon-40b-instruct")
-
-inputs = tokenizer("What's the best way to divide a pizza between three people?", return_tensors="pt")
-outputs = model.generate(**inputs, max_length=50)
-```
-
-- The Falcon tokenizer is a BPE model.
-
-## FalconConfig
-
-[[autodoc]] FalconConfig
-
-## FalconModel
-
-[[autodoc]] FalconModel
-    - forward
-
-## FalconForCausalLM
-
-[[autodoc]] FalconForCausalLM
-    - forward
-
-## FalconForSequenceClassification
-
-[[autodoc]] FalconForSequenceClassification
-    - forward
-
-## FalconForTokenClassification
-
-[[autodoc]] FalconForTokenClassification
-    - forward
-
-## FalconForQuestionAnswering
-
-[[autodoc]] FalconForQuestionAnswering
-    - forward

utils/check_repo.py

@@ -920,6 +920,12 @@ UNDOCUMENTED_OBJECTS = [
     "logging",  # External module
     "requires_backends",  # Internal function
     "AltRobertaModel",  # Internal module
+    "FalconConfig",  # TODO Matt Remove this and re-add the docs once TGI is ready
+    "FalconForCausalLM",
+    "FalconForQuestionAnswering",
+    "FalconForSequenceClassification",
+    "FalconForTokenClassification",
+    "FalconModel",
 ]
 
 # This list should be empty. Objects in it should get their own doc page.