Fix paths to AI Sweden Models reference and model loading (#28423)

Fix URL to Ai Sweden Models reference and model loading

docs/source/en/model_doc/gpt-sw3.md

@@ -30,15 +30,15 @@ in collaboration with RISE and the WASP WARA for Media and Language. GPT-Sw3 has
 320B tokens in Swedish, Norwegian, Danish, Icelandic, English, and programming code. The model was pretrained using a
 causal language modeling (CLM) objective utilizing the NeMo Megatron GPT implementation.
 
-This model was contributed by [AI Sweden](https://huggingface.co/AI-Sweden).
+This model was contributed by [AI Sweden Models](https://huggingface.co/AI-Sweden-Models).
 
 ## Usage example
 
 ```python
 >>> from transformers import AutoTokenizer, AutoModelForCausalLM
 
->>> tokenizer = AutoTokenizer.from_pretrained("AI-Sweden/gpt-sw3-356m")
->>> model = AutoModelForCausalLM.from_pretrained("AI-Sweden/gpt-sw3-356m")
+>>> tokenizer = AutoTokenizer.from_pretrained("AI-Sweden-Models/gpt-sw3-356m")
+>>> model = AutoModelForCausalLM.from_pretrained("AI-Sweden-Models/gpt-sw3-356m")
 
 >>> input_ids = tokenizer("Träd är fina för att", return_tensors="pt")["input_ids"]
 

src/transformers/models/gpt_sw3/tokenization_gpt_sw3.py

@@ -21,20 +21,24 @@ VOCAB_FILES_NAMES = {"vocab_file": "spiece.model"}
 
 PRETRAINED_VOCAB_FILES_MAP = {
     "vocab_file": {
-        "AI-Sweden/gpt-sw3-126m": "https://huggingface.co/AI-Sweden/gpt-sw3-126m/resolve/main/spiece.model",
-        "AI-Sweden/gpt-sw3-350m": "https://huggingface.co/AI-Sweden/gpt-sw3-350m/resolve/main/spiece.model",
-        "AI-Sweden/gpt-sw3-1.6b": "https://huggingface.co/AI-Sweden/gpt-sw3-1.6b/resolve/main/spiece.model",
-        "AI-Sweden/gpt-sw3-6.7b": "https://huggingface.co/AI-Sweden/gpt-sw3-6.7b/resolve/main/spiece.model",
-        "AI-Sweden/gpt-sw3-20b": "https://huggingface.co/AI-Sweden/gpt-sw3-20b/resolve/main/spiece.model",
+        "AI-Sweden-Models/gpt-sw3-126m": "https://huggingface.co/AI-Sweden-Models/gpt-sw3-126m/resolve/main/spiece.model",
+        "AI-Sweden-Models/gpt-sw3-356m": "https://huggingface.co/AI-Sweden-Models/gpt-sw3-356m/resolve/main/spiece.model",
+        "AI-Sweden-Models/gpt-sw3-1.3b": "https://huggingface.co/AI-Sweden-Models/gpt-sw3-1.3b/resolve/main/spiece.model",
+        "AI-Sweden-Models/gpt-sw3-6.7b": "https://huggingface.co/AI-Sweden-Models/gpt-sw3-6.7b/resolve/main/spiece.model",
+        "AI-Sweden-Models/gpt-sw3-6.7b-v2": "https://huggingface.co/AI-Sweden-Models/gpt-sw3-6.7b-v2/resolve/main/spiece.model",
+        "AI-Sweden-Models/gpt-sw3-20b": "https://huggingface.co/AI-Sweden-Models/gpt-sw3-20b/resolve/main/spiece.model",
+        "AI-Sweden-Models/gpt-sw3-40b": "https://huggingface.co/AI-Sweden-Models/gpt-sw3-20b/resolve/main/spiece.model",
     }
 }
 
 PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES = {
-    "AI-Sweden/gpt-sw3-126m": 2048,
-    "AI-Sweden/gpt-sw3-350m": 2048,
-    "AI-Sweden/gpt-sw3-1.6b": 2048,
-    "AI-Sweden/gpt-sw3-6.7b": 2048,
-    "AI-Sweden/gpt-sw3-20b": 2048,
+    "AI-Sweden-Models/gpt-sw3-126m": 2048,
+    "AI-Sweden-Models/gpt-sw3-356m": 2048,
+    "AI-Sweden-Models/gpt-sw3-1.3b": 2048,
+    "AI-Sweden-Models/gpt-sw3-6.7b": 2048,
+    "AI-Sweden-Models/gpt-sw3-6.7b-v2": 2048,
+    "AI-Sweden-Models/gpt-sw3-20b": 2048,
+    "AI-Sweden-Models/gpt-sw3-40b": 2048,
 }
 
 
@@ -49,7 +53,7 @@ class GPTSw3Tokenizer(PreTrainedTokenizer):
     ```python
     >>> from transformers import GPTSw3Tokenizer
 
-    >>> tokenizer = GPTSw3Tokenizer.from_pretrained("AI-Sweden/gpt-sw3-126m")
+    >>> tokenizer = GPTSw3Tokenizer.from_pretrained("AI-Sweden-Models/gpt-sw3-126m")
     >>> tokenizer("Svenska är kul!")["input_ids"]
     [1814, 377, 3617, 63504]
     ```