fix_name_or_path
#13
by tkhanipov - opened
- config.json +0 -2
- modeling_gigarembed.py +1 -1
config.json
CHANGED
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@@ -15,7 +15,6 @@
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"is_mask_instruction": true,
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"latent_attention_config": {
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"_attn_implementation_autoset": false,
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-
"_name_or_path": "",
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"add_cross_attention": false,
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"architectures": null,
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"bad_words_ids": null,
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@@ -88,7 +87,6 @@
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"padding_side": "right",
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"text_config": {
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"_attn_implementation_autoset": false,
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-
"_name_or_path": "ai-sage/Giga-Embeddings-instruct",
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"add_cross_attention": false,
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"apply_qk_norm": true,
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| 94 |
"architectures": null,
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| 15 |
"is_mask_instruction": true,
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| 16 |
"latent_attention_config": {
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"_attn_implementation_autoset": false,
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"add_cross_attention": false,
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"architectures": null,
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"bad_words_ids": null,
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| 87 |
"padding_side": "right",
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| 88 |
"text_config": {
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| 89 |
"_attn_implementation_autoset": false,
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"add_cross_attention": false,
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"apply_qk_norm": true,
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"architectures": null,
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modeling_gigarembed.py
CHANGED
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@@ -965,7 +965,7 @@ class GigarEmbedModel(PreTrainedModel):
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| 965 |
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# Initialize tokenizer if text config is available
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self.tokenizer = AutoTokenizer.from_pretrained(
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| 968 |
-
configuration.
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| 969 |
)
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| 970 |
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# Set configuration parameters
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| 965 |
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# Initialize tokenizer if text config is available
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self.tokenizer = AutoTokenizer.from_pretrained(
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| 968 |
+
configuration.name_or_path
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| 969 |
)
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| 970 |
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| 971 |
# Set configuration parameters
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