Duplicate from EllieSiegel/Falcon-40B

Co-authored-by: Elvira Siegel <EllieSiegel@users.noreply.huggingface.co>

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README.md

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+---
+title: Falcon 40B
+emoji: 🦀
+colorFrom: blue
+colorTo: red
+sdk: gradio
+sdk_version: 3.33.1
+app_file: app.py
+pinned: false
+license: apache-2.0
+duplicated_from: EllieSiegel/Falcon-40B
+---
+
+Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

app.py

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+import gradio as gr
+
+from transformers import AutoTokenizer, AutoModelForCausalLM
+import transformers
+import torch
+
+
+def falcon(input_text):
+    model = "tiiuae/falcon-40b"
+
+    tokenizer = AutoTokenizer.from_pretrained(model)
+    pipeline = transformers.pipeline(
+        "text-generation",
+        model=model,
+        tokenizer=tokenizer,
+        torch_dtype=torch.bfloat16,
+        trust_remote_code=True,
+        device_map="auto",
+    )
+    sequences = pipeline(
+        input_text, # "Was ist das höchste Gebäude in der Welt?"
+        max_length=200,
+        do_sample=True,
+        top_k=10,
+        num_return_sequences=1,
+        eos_token_id=tokenizer.eos_token_id,
+    )
+    for seq in sequences:
+        print(f"Result: {seq['generated_text']}")
+
+    return sequences[0]['generated_text']
+
+iface = gr.Interface(fn=falcon, inputs="text", outputs="text")
+iface.launch() # To create a public link, set `share=True`

requirements.txt

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+transformers==4.29.2
+torch==2.0.1
+einops==0.6.1
+accelerate==0.19.0