Update README.md

README.md

@@ -1,3 +1,53 @@
----
-license: cc-by-4.0
----
+---
+---
+language: en
+tags:
+  - t5
+  - text-to-text
+  - nlp
+  - sharded
+  - large-model
+license: apache-2.0
+model_name: T5-11B-SSM-NQ Sharded
+model_id: iarroyof/t5-11b-ssm-nq-sharded
+base_model: google/t5-11b-ssm-nq
+size: 11B
+downloads: null
+datasets:
+  - natural_questions
+pipeline_tag: text2text-generation
+library_name: transformers
+widget:
+  - text: "What is the capital of France?"
+  - text: "Translate English to French: How are you?"
+metrics:
+  - rouge
+  - bleu
+
+---
+
+## Model Description
+
+This is a sharded version of the [T5-11B-SSM-NQ](https://huggingface.co/google/t5-11b-ssm-nq) model, fine-tuned on the **Natural Questions** dataset for text-to-text generation tasks. The model is stored and processed in multiple shards to facilitate easier handling of its large size (11 billion parameters).
+
+## Usage
+
+This model can be used for text-to-text generation tasks like question answering and text summarization. 
+
+```python
+from transformers import AutoModelForSeq2SeqLM, AutoTokenizer
+
+tokenizer = AutoTokenizer.from_pretrained("iarroyof/t5-11b-ssm-nq-sharded")
+model = AutoModelForSeq2SeqLM.from_pretrained(
+    "iarroyof/t5-11b-ssm-nq-sharded",
+    device_map="auto",
+    max_memory={0: "40GB", 1: "40GB", "cpu": "30GB"},
+    low_cpu_mem_usage=True,
+    torch_dtype=torch.float16,
+    trust_remote_code=True
+)
+
+inputs = tokenizer("Translate English to French: How are you?", return_tensors="pt").input_ids
+outputs = model.generate(inputs)
+print(tokenizer.decode(outputs[0], skip_special_tokens=True))
+---