Revert in-library commit

README.md

@@ -5,7 +5,6 @@ language:
 - en
 inference: false
 license: apache-2.0
-new_version: tiiuae/falcon-11B
 ---
 
 # 🚀 Falcon-7B
@@ -23,6 +22,8 @@ new_version: tiiuae/falcon-11B
 * **It features an architecture optimized for inference**, with FlashAttention ([Dao et al., 2022](https://arxiv.org/abs/2205.14135)) and multiquery ([Shazeer et al., 2019](https://arxiv.org/abs/1911.02150)). 
 * **It is made available under a permissive Apache 2.0 license allowing for commercial use**, without any royalties or restrictions.
 
+⚠️ Falcon is now available as a core model in the `transformers` library! To use the in-library version, please install the latest version of `transformers` with `pip install git+https://github.com/ huggingface/transformers.git`, then simply remove the `trust_remote_code=True` argument from `from_pretrained()`.
+
 ⚠️ **This is a raw, pretrained model, which should be further finetuned for most usecases.** If you are looking for a version better suited to taking generic instructions in a chat format, we recommend taking a look at [Falcon-7B-Instruct](https://huggingface.co/tiiuae/falcon-7b-instruct). 
 
 🔥 **Looking for an even more powerful model?** [Falcon-40B](https://huggingface.co/tiiuae/falcon-40b) is Falcon-7B's big brother!
@@ -40,7 +41,6 @@ pipeline = transformers.pipeline(
     model=model,
     tokenizer=tokenizer,
     torch_dtype=torch.bfloat16,
-    trust_remote_code=True,
     device_map="auto",
 )
 sequences = pipeline(
@@ -70,7 +70,7 @@ You will need **at least 16GB of memory** to swiftly run inference with Falcon-7
 
 - **Developed by:** [https://www.tii.ae](https://www.tii.ae);
 - **Model type:** Causal decoder-only;
-- **Language(s) (NLP):** English, German, Spanish, French (and limited capabilities in Italian, Portuguese, Polish, Dutch, Romanian, Czech, Swedish);
+- **Language(s) (NLP):** English and French;
 - **License:** Apache 2.0.
 
 ### Model Source
@@ -111,7 +111,6 @@ pipeline = transformers.pipeline(
     model=model,
     tokenizer=tokenizer,
     torch_dtype=torch.bfloat16,
-    trust_remote_code=True,
     device_map="auto",
 )
 sequences = pipeline(
@@ -234,4 +233,4 @@ To learn more about the pretraining dataset, see the 📓 [RefinedWeb paper](htt
 Falcon-7B is made available under the Apache 2.0 license.
 
 ## Contact
-[email protected]
+[email protected]

configuration_falcon.py

@@ -115,11 +115,6 @@ class FalconConfig(PretrainedConfig):
         eos_token_id=11,
         **kwargs,
     ):
-        logger.warning_once(
-            "\nWARNING: You are currently loading Falcon using legacy code contained in the model repository. Falcon has now been fully ported into the Hugging Face transformers library. "
-            "For the most up-to-date and high-performance version of the Falcon model code, please update to the latest version of transformers and then load the model "
-            "without the trust_remote_code=True argument.\n"
-        )
         self.vocab_size = vocab_size
         # Backward compatibility with n_embed kwarg
         n_embed = kwargs.pop("n_embed", None)

generation_config.json

@@ -2,5 +2,5 @@
   "_from_model_config": true,
   "bos_token_id": 11,
   "eos_token_id": 11,
-  "transformers_version": "4.33.0.dev0"
+  "transformers_version": "4.31.0.dev0"
 }

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