File size: 3,189 Bytes
206c9a3
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83

❌ Error occurred at line 76: python3 - <<EOF
from transformers import AutoTokenizer, AutoModelForCausalLM
print("πŸ” Downloading tokenizer & model...")
tokenizer = AutoTokenizer.from_pretrained("$MODEL_NAME")
model = AutoModelForCausalLM.from_pretrained("$MODEL_NAME")
print("βœ… Model ready.")
EOF


❌ Error occurred at line 76: python3 - <<EOF
from transformers import AutoTokenizer, GPTNeoForCausalLM
print("πŸ” Downloading tokenizer & model (GPTNeoForCausalLM)...")
tokenizer = AutoTokenizer.from_pretrained("$MODEL_NAME")
model = GPTNeoForCausalLM.from_pretrained("$MODEL_NAME")
print("βœ… Model ready (GPTNeoForCausalLM).")
EOF


❌ Error occurred at line 76: python3 - <<EOF
from transformers import AutoTokenizer, GPTNeoForCausalLM
print("πŸ” Downloading tokenizer & model (GPTNeoForCausalLM)...")
tokenizer = AutoTokenizer.from_pretrained("$MODEL_NAME")
model = GPTNeoForCausalLM.from_pretrained("$MODEL_NAME")
print("βœ… Model ready (GPTNeoForCausalLM).")
EOF


❌ Error occurred at line 74: python3 - <<EOF
from transformers import AutoTokenizer, GPTNeoForCausalLM
print("πŸ” Downloading tokenizer & model (GPTNeoForCausalLM)...")
tokenizer = AutoTokenizer.from_pretrained("$MODEL_NAME")
model = GPTNeoForCausalLM.from_pretrained("$MODEL_NAME")
print("βœ… Model ready (GPTNeoForCausalLM).")
EOF


❌ Error occurred at line 88: python3 - <<EOF
from transformers import GPT2Tokenizer, GPTNeoForCausalLM
print("πŸ” Downloading tokenizer & model (GPTNeoForCausalLM)...")
tokenizer = GPT2Tokenizer.from_pretrained("$MODEL_NAME")
model = GPTNeoForCausalLM.from_pretrained("$MODEL_NAME")
print("βœ… Model ready (GPTNeoForCausalLM).")
EOF


❌ Error occurred at line 182: huggingface-cli repo create "$HF_USERNAME/$HF_SPACE_NAME" --type space --space-sdks gradio

❌ Error occurred at line 182: huggingface-cli repo create "$HF_USERNAME/$HF_SPACE_NAME" --type space

❌ Error occurred at line 182: huggingface-cli repo create "$HF_USERNAME/$HF_SPACE_NAME" --type space

❌ Error occurred at line 182: huggingface-cli repo create "$HF_USERNAME/$HF_SPACE_NAME" --type space

❌ Error occurred at line 182: huggingface-cli repo create "$HF_SPACE_NAME" --type space

❌ Error occurred at line 216: huggingface-cli repo create "$HF_SPACE_NAME" --type space --space-sdk gradio

❌ Error occurred at line 184: python3 - <<EOF
from transformers import GPT2Tokenizer, GPTNeoForCausalLM
import json

# Load configuration
with open("$WORK_DIR/shx-config.json", "r") as f:
    config = json.load(f)

tokenizer = GPT2Tokenizer.from_pretrained(config["model_name"])
model = GPTNeoForCausalLM.from_pretrained(config["model_name"])
prompt = "SHX is"
inputs = tokenizer(prompt, return_tensors="pt", padding=True)
output = model.generate(
    input_ids=inputs.input_ids,
    attention_mask=inputs.attention_mask,
    pad_token_id=tokenizer.eos_token_id,
    max_length=config["max_length"],
    temperature=config["temperature"],
    top_k=config["top_k"],
    top_p=config["top_p"]
)
print("🧠 SHX Test Output:", tokenizer.decode(output[0], skip_special_tokens=True))
EOF